CN117649314B - Line loss correction method and system taking into account the quality of collected data and operating status of the substation area - Google Patents
Line loss correction method and system taking into account the quality of collected data and operating status of the substation area Download PDFInfo
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Abstract
The invention belongs to the technical field of theoretical line loss calculation of a low-voltage power distribution network, and particularly relates to a line loss correction method and system for collecting data quality and running states of a transformer area. The method comprises the steps of firstly obtaining the characteristics of a platform region, classifying the platform region according to the characteristics of the platform region to obtain a platform region classification result, then calculating the theoretical line loss of the platform region with insufficient acquisition points in the platform region classification result of each type, selecting a theoretical line loss correction model corresponding to the acquisition points of the platform region with insufficient acquisition points from the theoretical line loss correction models of the platform region with insufficient acquisition points of the platform region classification result of the platform region with insufficient acquisition points, inputting the theoretical line loss of the platform region with insufficient acquisition points into the selected theoretical line loss correction model to obtain a line loss correction result, and outputting the line loss correction result. The line loss correction method based on the voltage loss method counts the acquired data quality and the running state of the transformer area, meets the application of the voltage loss method under different data quality, and improves the accuracy of line loss calculation of the voltage loss method.
Description
Technical Field
The invention belongs to the technical field of theoretical line loss calculation of a low-voltage power distribution network, and particularly relates to a line loss correction method and system for collecting data quality and running states of a transformer area.
Background
The line loss of the low-voltage distribution network station area is an economic index reflecting the technical level and the management level of a power supply unit. The accurate calculation of the line loss of the transformer area can assist the management unit to formulate reasonable assessment indexes, and meanwhile, the management unit can be guided to reduce loss and save energy, so that the economic benefit of the power supply unit is ensured.
The current line loss calculation method comprises an equivalent resistance method, a tide method, a voltage loss method, a machine learning algorithm and the like, and the voltage loss method is widely applied to the line loss calculation of the low-voltage distribution network due to the advantages of low required data types, high calculation accuracy on the basis of meeting calculation requirement data and the like.
However, since hardware equipment such as acquisition and metering is not updated and modified, the problems of acquisition data deficiency and acquisition task configuration limitation exist in each power supply unit, and the quality of acquired basic data is caused, so that the problem of inaccurate calculation of a voltage loss method is caused. Therefore, it is needed to adapt the voltage loss method under different acquired data quality, and improve the accuracy of the line loss calculation of the voltage loss method.
Disclosure of Invention
The invention aims to provide a line loss correction method and a line loss correction system for counting the acquired data quality and the running state of a station area, so as to solve the problems of acquisition data deficiency and acquisition task configuration limitation of the existing voltage loss method, and the problem of inaccurate calculation of the voltage loss method caused by the problem of acquisition basic data quality.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a line loss correction method for accounting for quality and running state of data collected by a station, including:
collecting characteristics of a platform area;
classifying the areas according to the area characteristics to obtain a plurality of class area classification results;
based on the station classification results, calculating theoretical line loss LPQ part* of the station with insufficient acquisition points in each type of station classification results;
selecting a theoretical line loss correction model corresponding to the acquisition points of the station areas with insufficient acquisition points from theoretical line loss correction models of station area classification results of the station areas with insufficient acquisition points;
Inputting the theoretical line loss LPQ part* of the station area with insufficient acquisition points into a selected theoretical line loss correction model to obtain a line loss correction result LPQ all*;
Outputting a line loss correction result LPQ all*;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*。
Optionally, the area with complete collection points is an area with 96 points collected in 24 hours, and the area with insufficient collection points is an area with 4 points, 12 points or 24 points collected in 24 hours.
Optionally, the platform region features comprise static features and dynamic features, wherein the static features comprise urban/rural networks, platform region capacity and user number, and the dynamic features comprise load rate and load shape coefficients;
the calculation formula of the load factor is as follows:
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The average value of the active power in the platform area with the number of 4 points is the average value of the active power of the 4 acquisition points;
The calculation formula of the load shape factor K is as follows:
In the formula, I jf is root mean square current of the head end of the station area line, I pj is average load current of the head end of the station area line, I ai is current of total surface A phase of the head end of the station area at the I moment, I bi is current of total surface B phase of the head end of the station area at the I moment, I ci is current of total surface C phase of the head end of the station area at the I moment, I zi is total surface zero sequence current of the head end of the station area at the I moment, m is total moment, 96 acquisition points are taken, PPQ is active power supply quantity of the head end of the station area, U pj is average running voltage of the station area line, cos phi is the power factor of the low-voltage line, and 1;T is running time of the station area line and 24h.
Optionally, the step of classifying the areas according to the area characteristics to obtain an area classification result includes:
The area classification result is three digits, and the value range of the first digit from left to right is 1-6, wherein 1 is an urban centralized residential area, 2 is an urban business area, 3 is other areas of the city, 4 is an area of a rural centralized area, 5 is an area of a rural common village, and 6 is other areas of the rural area;
The second bit value range from left to right is 1-3, wherein 1 is a light-load platform area, the light-load platform area is a platform area with the platform area load rate being less than 30 percent, 2 is a normal platform area, the normal platform area is a platform area with the platform area load rate being more than or equal to 30 percent and less than 70 percent, 3 is a heavy-load platform area, and the heavy-load platform area is a platform area with the platform area load rate being more than or equal to 70 percent;
The third position from left to right is in a value range of 1-3, wherein 1 is a region with small load change, the region with small load change is a region with a load shape factor of less than 0.9, 2 is a region with normal load change, the region with normal load change is a region with a load shape factor of more than or equal to 0.9 and less than 2, and 3 is a region with large load change, and the region with large load change is a region with a load shape factor of more than or equal to 2.
In a second aspect, the present invention provides a line loss correction system for accounting for quality and operational status of data collected by a site, comprising:
the data acquisition module is used for acquiring the characteristics of the platform area;
the classification module is used for classifying the areas according to the area characteristics obtained by the data acquisition module to obtain a plurality of class area classification results;
the calculating module is used for calculating theoretical line loss LPQ part* of the station areas with insufficient acquisition points in each type of station area dividing result based on the station area dividing result obtained in the classifying module;
the selection module is used for selecting a theoretical line loss correction model corresponding to the collection points of the station areas with insufficient collection points from the theoretical line loss correction models of the station area classification results of the station areas with insufficient collection points;
The data processing module is used for inputting the theoretical line loss LPQ part* of the transformer area with insufficient acquisition points obtained in the calculation module into the theoretical line loss correction model selected by the selection module to obtain a line loss correction result LPQ all*;
The output module is used for outputting the line loss correction result LPQ all* obtained by the data processing module;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*。
Optionally, the area with complete collection points is an area with 96 points collected in 24 hours, and the area with insufficient collection points is an area with 4 points, 12 points or 24 points collected in 24 hours.
Optionally, the platform region features comprise static features and dynamic features, wherein the static features comprise urban/rural networks, platform region capacity and user number, and the dynamic features comprise load rate and load shape coefficients;
the calculation formula of the load factor is as follows:
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The average value of the active power in the platform area with the number of 4 points is the average value of the active power of the 4 acquisition points;
The calculation formula of the load shape factor K is as follows:
In the formula, I jf is root mean square current of the head end of the station area line, I pj is average load current of the head end of the station area line, I ai is current of total surface A phase of the head end of the station area at the I moment, I bi is current of total surface B phase of the head end of the station area at the I moment, I ci is current of total surface C phase of the head end of the station area at the I moment, I zi is total surface zero sequence current of the head end of the station area at the I moment, m is total moment, 96 acquisition points are taken, PPQ is active power supply quantity of the head end of the station area, U pj is average running voltage of the station area line, cos phi is the power factor of the low-voltage line, and 1;T is running time of the station area line and 24h.
Optionally, the step of classifying the areas according to the area characteristics to obtain an area classification result includes:
The area classification result is three digits, and the value range of the first digit from left to right is 1-6, wherein 1 is an urban centralized residential area, 2 is an urban business area, 3 is other areas of the city, 4 is an area of a rural centralized area, 5 is an area of a rural common village, and 6 is other areas of the rural area;
The second bit value range from left to right is 1-3, wherein 1 is a light-load platform area, the light-load platform area is a platform area with the platform area load rate being less than 30 percent, 2 is a normal platform area, the normal platform area is a platform area with the platform area load rate being more than or equal to 30 percent and less than 70 percent, 3 is a heavy-load platform area, and the heavy-load platform area is a platform area with the platform area load rate being more than or equal to 70 percent;
The third position from left to right is in a value range of 1-3, wherein 1 is a region with small load change, the region with small load change is a region with a load shape factor of less than 0.9, 2 is a region with normal load change, the region with normal load change is a region with a load shape factor of more than or equal to 0.9 and less than 2, and 3 is a region with large load change, and the region with large load change is a region with a load shape factor of more than or equal to 2.
In a third aspect, the present invention provides an electronic device, including a processor and a memory, where the processor is configured to execute a computer program stored in the memory to implement the line loss correction method for collecting data quality and operating status of a platform.
In a fourth aspect, the present invention provides a computer readable storage medium storing at least one instruction, where the at least one instruction, when executed by a processor, implements the line loss correction method for collecting data quality and operating status of a site.
Compared with the prior art, the invention has the following beneficial effects:
The invention provides a line loss correction method and system for collecting data quality and running state of a platform region, which comprises the steps of firstly collecting platform region characteristics, classifying the platform region according to the platform region characteristics to obtain a plurality of platform region classification results, calculating theoretical line loss of the platform region with insufficient collection points in each platform region classification result based on the platform region classification results, selecting a theoretical line loss correction model corresponding to the collection points of the platform region with insufficient collection points from theoretical line loss correction models of the platform region classification results to which the platform region with insufficient collection points belongs, inputting the theoretical line loss of the platform region with insufficient collection points into the selected theoretical line loss correction model to obtain line loss correction results, and finally outputting the line loss correction results.
The invention provides a line loss correction method for counting the acquired data quality and the running state of a station area on the basis of a voltage loss method, which meets the application of the voltage loss method under different data quality and improves the accuracy of line loss calculation of the voltage loss method.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a line loss correction method for counting the quality and running state of data collected by a station area;
FIG. 2 is a diagram of a line loss correction system accounting for the quality and running state of data collected by a station area;
FIG. 3 is a block diagram of an electronic device according to the present invention;
Fig. 4 is a flowchart of a theoretical line loss correction model obtaining method according to the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention.
Example 1
As shown in fig. 1, the invention provides a line loss correction method for counting the quality and the running state of the acquired data of a station area.
1. Station area characteristic index
The data mainly originate from an acquisition and marketing system, dynamic and static characteristic indexes for describing the images of the platform region are constructed from data sources, wherein the platform region characteristics comprise platform region static characteristics reflecting the file types of the platform region and platform region dynamic characteristics reflecting the running states of the platform region, the platform region static characteristics comprise platform region capacity, the number of users, active/passive, urban network/rural network and the like, and the platform region dynamic characteristics comprise load rates and load shape coefficients.
The calculation formula of the load factor is shown in the following formula (1):
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The active power average value is the active power average value of 12 acquisition points with the highest load in the platform area 24h, wherein the platform area with the acquisition points less than 12 points is the active power average value of all the acquisition points;
the calculation formula of the load shape factor K is shown in the following formula (2):
In the formula, I jf is root mean square current of the head end of a station area line, I pj is average load current of the head end of the station area line, I ai is current of the total surface A phase of the head end of the station area at the I time, I bi is current of the total surface B phase of the head end of the station area at the I time, I ci is current of the total surface C phase of the head end of the station area at the I time, I zi is current of the total surface zero sequence of the head end of the station area at the I time, m is total time, 96 acquisition points are generally taken according to acquisition configuration, PPQ is active power supply quantity of the head end of the station area, U pj is average operation voltage of the station area line, cos phi is a power factor of the low-voltage line, and a default value is 1;T which is operation time of the station area line and is 24h.
2. Area classification based on area characteristic index
Aiming at the characteristic indexes of the platform area, according to expert service experience and on-site operation data analysis, the platform area classification rule is as follows:
the classification result of the station area is three digits. The first bit value range is 1-6, which represents the capacity and the number of users of the urban rural network and the district, the second bit value range is 1-3, which represents the load rate, the third bit value range is 1-3, which represents the load shape factor, and the total of 54 district results are obtained.
If the classification of the area is 111, the area with small load change is represented by the urban concentrated residential area, and if the classification of the area is 433, the area with large load change is represented by the rural concentrated residential area.
3. Theoretical line loss calculation correction model under condition of insufficient acquisition points
Aiming at each class of platform classification result, the correction model construction is completed according to the following steps:
1) The method comprises the steps of using data such as voltage, current and power factor of a platform region with complete collection points as a sample, and calculating to obtain theoretical loss electric quantity LPQ all of each platform region with complete collection points by using a voltage loss method;
2) Selecting a plurality of acquisition points from the plot data of each platform region with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the platform region with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical loss electric quantity LPQ part of the platform region with insufficient acquisition points;
3) Calculating a ratio coefficient L of theoretical loss electric quantity of a station area with complete and insufficient acquisition points, wherein the formula is as follows:
4) According to the central limit theorem, when the data volume of the area sample is large enough, the distribution of the ratio coefficient L approaches to normal distribution, namely, the L is concentrated and distributed in a certain interval, and the quantity of the two sides of the interval is gradually reduced. Setting the interval intermediate value as L m;
5) Taking the intermediate value L m of each class of ratio coefficient as the correction coefficient of the theoretical line loss correction model with insufficient acquisition points, and establishing a correction model as follows:
LPQall*=Lm×LPQpart*。
The platform area with complete collection points is a platform area with 96 points in 24 hours, part of the platform areas are not updated because of collection and storage equipment, the situation that the collection points are insufficient for 96 points exists, and the platform area with insufficient collection points is a platform area with 4 points, 12 points or 24 points in 24 hours.
4. Theoretical line loss correction calculation under condition of insufficient collection points of transformer area
The method comprises the steps of classifying the areas with insufficient acquisition points according to static and dynamic indexes of the areas, calculating theoretical loss electric quantity LPQ part* of the areas with insufficient acquisition points based on a voltage loss method according to the areas with insufficient acquisition points, selecting a theoretical line loss correction model corresponding to the acquisition points of the areas with insufficient acquisition points from theoretical line loss correction models of area division results of the areas with insufficient acquisition points, inputting LPQ part* into the selected theoretical line loss correction model, and calculating complete loss electric quantity LPQ all*=Lm×LPQpart* to obtain line loss correction results LPQ all* of the areas with insufficient acquisition points.
The method comprises the steps of randomly selecting 200 areas with insufficient collection points (the collection points are 4, the fixed collection time is 7, 11, 15 and 19), calculating by a voltage loss method to obtain theoretical loss electric quantity LPQ part*, calculating respective line loss Rate Rate part according to the power supply quantity of the areas, constructing a correction model by using data of the 15 ten thousand complete collection areas in the city for 180 days, classifying indexes of the 200 areas, and carrying the indexes into the correction model to obtain respective accurate theoretical loss electric quantity LPQ all* and line loss Rate Rate all. The line loss ratio calculated by the ox-drawn tide method and the average absolute percentage comparison error (Mean Absolute Percentage Error, MAPE) before and after correction are shown in the following table:
The calculation formula of MAPE is:
wherein n is the number of samples of the model application, y i is the line loss rate of the tide method, The calculated line loss rate is in a value range of [0, + ], MAPE is 0% to represent a perfect model, MAPE is greater than 100% to represent a poor model, and the smaller the value of MAPE is, the better the accuracy of the prediction model is.
The calculated line loss rate and the line loss rate of the power flow method are compared, the average MAPE value before correction is 40.55%, the deviation between the calculated line loss rate and the result calculated by the power flow method is larger, the average MAPE value after correction is 5.24%, and the line loss rate is relatively close to the result of the power flow method, so that the accuracy of the method is proved.
Example 2
The invention provides a line loss correction system for counting the quality and the running state of data collected by a station area, which comprises the following components:
the data acquisition module is used for acquiring the characteristics of the platform area;
the classification module is used for classifying the areas according to the area characteristics to obtain a plurality of class area classification results;
the platform region features comprise static features and dynamic features, wherein the static features comprise urban/rural networks, platform region capacity and user numbers, and the dynamic features comprise load rates and load shape coefficients;
the calculation formula of the load factor is as follows:
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The average value of the active power is the average value of the active power of 12 acquisition points with the highest load in the platform area 24h, wherein the average value of the active power of the platform area with the acquisition points less than 12 points is the average value of the active power of all the acquisition points;
The calculation formula of the load shape factor K is as follows:
Wherein I jf is the root mean square current of the head end of the station area line, I pj is the average load current of the head end of the station area line, I ai is the current of the total surface A phase of the head end of the station area at the I moment, I bi is the current of the total surface B phase of the head end of the station area at the I moment, I ci is the current of the total surface C phase of the head end of the station area at the I moment, I zi is the total surface zero sequence current of the head end of the station area at the I moment, m is the total moment, 96 acquisition points are taken, PPQ is the active power supply quantity of the head end of the station area, U pj is the average running voltage of the station area line, cos phi is the power factor of the low-voltage line, and 1;T is the running time of the station area line, and 24h is taken;
The area classification result is three digits, and the value range of the first digit from left to right is 1-6, wherein 1 is an urban centralized residential area, 2 is an urban business area, 3 is other areas of the city, 4 is an area of a rural centralized area, 5 is an area of a rural common village, and 6 is other areas of the rural area;
The second bit value range from left to right is 1-3, wherein 1 is a light-load platform area, the light-load platform area is a platform area with the platform area load rate being less than 30 percent, 2 is a normal platform area, the normal platform area is a platform area with the platform area load rate being more than or equal to 30 percent and less than 70 percent, 3 is a heavy-load platform area, and the heavy-load platform area is a platform area with the platform area load rate being more than or equal to 70 percent;
The third position from left to right is in a value range of 1-3, wherein 1 is a region with small load change, the region with small load change is a region with a load shape factor of less than 0.9, 2 is a region with normal load change, the region with normal load change is a region with a load shape factor of more than or equal to 0.9 and less than 2, and 3 is a region with large load change, and the region with large load change is a region with a load shape factor of more than or equal to 2.
And the calculating module is used for calculating the theoretical line loss LPQ part* of the station area with insufficient acquisition points in each type of station area division result based on the station area division result obtained in the classifying module.
The selection module is used for selecting a theoretical line loss correction model corresponding to the collection points of the station areas with insufficient collection points from the theoretical line loss correction models of the station area classification results of the station areas with insufficient collection points;
The data processing module is used for inputting the theoretical line loss of the transformer area with insufficient acquisition points obtained in the calculation module into the theoretical line loss correction model selected by the selection module to obtain a line loss correction result LPQ all*;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*
the platform area with complete collection points is a platform area with 96 points in 24 hours, and the platform area with insufficient collection points is a platform area with 4 points, 12 points or 24 points in 24 hours.
And the output module is used for outputting the line loss correction result LPQ all* obtained by the data processing module.
Example 3
Referring to fig. 3, the present invention further provides an electronic device 100 for implementing the line loss correction method for counting the quality and the running state of the acquired data of the area, wherein the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and running on the at least one processor 102, and at least one communication bus 104.
The memory 101 may be used to store the computer program 103, and the processor 102 implements the line loss correction method steps of the quality and the operation status of the data collected by the entry area according to embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), etc., and a storage data area that may store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, memory 101 may include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.
The at least one Processor 102 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, the processor 102 being a control center of the electronic device 100, the various interfaces and lines being utilized to connect various portions of the overall electronic device 100.
The memory 101 in the electronic device 100 stores a plurality of instructions to implement a line loss correction method that accounts for the quality and running status of the acquired data of the area, and the processor 102 can execute the plurality of instructions to implement:
collecting characteristics of a platform area;
classifying the areas according to the area characteristics to obtain a plurality of class area classification results;
based on the station classification results, calculating theoretical line loss LPQ part* of the station with insufficient acquisition points in each type of station classification results;
selecting a theoretical line loss correction model corresponding to the acquisition points of the station areas with insufficient acquisition points from theoretical line loss correction models of station area classification results of the station areas with insufficient acquisition points;
Inputting the theoretical line loss LPQ part* of the station area with insufficient acquisition points into a selected theoretical line loss correction model to obtain a line loss correction result LPQ all*;
Outputting a line loss correction result LPQ all*;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*。
Example 4
The modules/units integrated in the electronic device 100 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, and a Read-Only Memory (ROM).
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the specific embodiments of the present invention without departing from the spirit and scope of the present invention, and any modifications and equivalents are intended to be included in the scope of the claims of the present invention.
Claims (6)
1. The line loss correction method for counting the acquired data quality and the running state of the station area is characterized by comprising the following steps of:
collecting characteristics of a platform area;
classifying the areas according to the area characteristics to obtain a plurality of class area classification results;
based on the station classification results, calculating theoretical line loss LPQ part* of the station with insufficient acquisition points in each type of station classification results;
selecting a theoretical line loss correction model corresponding to the acquisition points of the station areas with insufficient acquisition points from theoretical line loss correction models of station area classification results of the station areas with insufficient acquisition points;
Inputting the theoretical line loss LPQ part* of the station area with insufficient acquisition points into a selected theoretical line loss correction model to obtain a line loss correction result LPQ all*;
Outputting a line loss correction result LPQ all*;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*;
The platform area with complete collection points is a platform area with 96 points in 24 hours, and the platform area with insufficient collection points is a platform area with 4 points, 12 points or 24 points in 24 hours;
the platform region features comprise static features and dynamic features, wherein the static features comprise urban/rural networks, platform region capacity and user numbers, and the dynamic features comprise load rates and load shape coefficients;
the calculation formula of the load factor is as follows:
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The average value of the active power in the platform area with the number of 4 points is the average value of the active power of the 4 acquisition points;
The calculation formula of the load shape factor K is as follows:
Wherein I jf is the root mean square current of the head end of the station area line, I pj is the average load current of the head end of the station area line, I ai is the current of the total surface A phase of the head end of the station area at the I moment, I bi is the current of the total surface B phase of the head end of the station area at the I moment, I ci is the current of the total surface C phase of the head end of the station area at the I moment, I zi is the total surface zero sequence current of the head end of the station area at the I moment, m is the total moment, 96 acquisition points are taken, PPQ is the active power supply quantity of the head end of the station area, U pj is the average running voltage of the station area line, cos phi is the power factor of the low-voltage line, and 1;T is the running time of the station area line, and 24h is taken;
The method comprises the steps of classifying the areas with insufficient acquisition points according to static and dynamic indexes of the areas, calculating theoretical loss electric quantity LPQ part* of the areas with insufficient acquisition points based on a voltage loss method according to the areas with insufficient acquisition points, selecting a theoretical line loss correction model corresponding to the acquisition points of the areas with insufficient acquisition points from theoretical line loss correction models of area division results of the areas with insufficient acquisition points, inputting LPQ part* into the selected theoretical line loss correction model, and calculating complete loss electric quantity LPQ all*=Lm×LPQpart* to obtain line loss correction results LPQ all* of the areas with insufficient acquisition points.
2. The line loss correction method for counting in the acquired data quality and running state of a station area according to claim 1, wherein in the step of classifying the station area according to the station area characteristics to obtain the station area classification result:
The area classification result is three digits, and the value range of the first digit from left to right is 1-6, wherein 1 is an urban centralized residential area, 2 is an urban business area, 3 is other areas of the city, 4 is an area of a rural centralized area, 5 is an area of a rural common village, and 6 is other areas of the rural area;
The second bit value range from left to right is 1-3, wherein 1 is a light-load platform area, the light-load platform area is a platform area with the platform area load rate being less than 30 percent, 2 is a normal platform area, the normal platform area is a platform area with the platform area load rate being more than or equal to 30 percent and less than 70 percent, 3 is a heavy-load platform area, and the heavy-load platform area is a platform area with the platform area load rate being more than or equal to 70 percent;
The third position from left to right is in a value range of 1-3, wherein 1 is a region with small load change, the region with small load change is a region with a load shape factor of less than 0.9, 2 is a region with normal load change, the region with normal load change is a region with a load shape factor of more than or equal to 0.9 and less than 2, and 3 is a region with large load change, and the region with large load change is a region with a load shape factor of more than or equal to 2.
3. The line loss correction system for counting the acquired data quality and the running state of a station area is characterized by comprising the following components:
the data acquisition module is used for acquiring the characteristics of the platform area;
the classification module is used for classifying the areas according to the area characteristics obtained by the data acquisition module to obtain a plurality of class area classification results;
the calculating module is used for calculating theoretical line loss LPQ part* of the station areas with insufficient acquisition points in each type of station area dividing result based on the station area dividing result obtained in the classifying module;
the selection module is used for selecting a theoretical line loss correction model corresponding to the collection points of the station areas with insufficient collection points from the theoretical line loss correction models of the station area classification results of the station areas with insufficient collection points;
The data processing module is used for inputting the theoretical line loss LPQ part* of the transformer area with insufficient acquisition points obtained in the calculation module into the theoretical line loss correction model selected by the selection module to obtain a line loss correction result LPQ all*;
The output module is used for outputting the line loss correction result LPQ all* obtained by the data processing module;
the theoretical line loss correction model is obtained through the following steps:
collecting historical data, wherein the historical data comprises historical platform region characteristics;
classifying the regions according to the historical region features to obtain a historical region classification result;
Aiming at each type of historical area classification result, acquiring voltage, current and power factor data of the area with complete acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ all of each area with complete acquisition points;
selecting a plurality of acquisition points from the acquisition point data of each station area with complete acquisition points, wherein the number of the plurality of acquisition points is the number of the acquisition points of the station area with insufficient acquisition points, acquiring voltage, current and power factor data of the plurality of selected acquisition points, and calculating by using a voltage loss method to obtain theoretical line loss LPQ part of the station area with insufficient acquisition points;
Calculating a ratio coefficient L, wherein the formula is as follows:
Selecting an intermediate value L m of a distribution interval of all ratio coefficients L as a correction coefficient of a theoretical line loss correction model of the historical stage classification result of each class aiming at the historical stage classification result of each class;
The theoretical line loss correction model is established as follows:
LPQall*=Lm×LPQpart*;
The platform area with complete collection points is a platform area with 96 points in 24 hours, and the platform area with insufficient collection points is a platform area with 4 points, 12 points or 24 points in 24 hours;
the platform region features comprise static features and dynamic features, wherein the static features comprise urban/rural networks, platform region capacity and user numbers, and the dynamic features comprise load rates and load shape coefficients;
the calculation formula of the load factor is as follows:
In the formula, the capacity of the transformer area is the rated capacity of the transformer;
The calculation formula of the average power is as follows:
average power = active power average value x current transformer multiplying power x voltage transformer multiplying power x multiplying power of table
The average value of the active power in the platform area with the number of 4 points is the average value of the active power of the 4 acquisition points;
The calculation formula of the load shape factor K is as follows:
Wherein I jf is the root mean square current of the head end of the station area line, I pj is the average load current of the head end of the station area line, I ai is the current of the total surface A phase of the head end of the station area at the I moment, I bi is the current of the total surface B phase of the head end of the station area at the I moment, I ci is the current of the total surface C phase of the head end of the station area at the I moment, I zi is the total surface zero sequence current of the head end of the station area at the I moment, m is the total moment, 96 acquisition points are taken, PPQ is the active power supply quantity of the head end of the station area, U pj is the average running voltage of the station area line, cos phi is the power factor of the low-voltage line, and 1;T is the running time of the station area line, and 24h is taken;
The method comprises the steps of classifying the areas with insufficient acquisition points according to static and dynamic indexes of the areas, calculating theoretical loss electric quantity LPQ part* of the areas with insufficient acquisition points based on a voltage loss method according to the areas with insufficient acquisition points, selecting a theoretical line loss correction model corresponding to the acquisition points of the areas with insufficient acquisition points from theoretical line loss correction models of area division results of the areas with insufficient acquisition points, inputting LPQ part* into the selected theoretical line loss correction model, and calculating complete loss electric quantity LPQ all*=Lm×LPQpart* to obtain line loss correction results LPQ all* of the areas with insufficient acquisition points.
4. The line loss correction system for counting in the acquired data quality and running state of a station area according to claim 3, wherein in the step of classifying the station area according to the station area characteristics to obtain the station area classification result:
The area classification result is three digits, and the value range of the first digit from left to right is 1-6, wherein 1 is an urban centralized residential area, 2 is an urban business area, 3 is other areas of the city, 4 is an area of a rural centralized area, 5 is an area of a rural common village, and 6 is other areas of the rural area;
The second bit value range from left to right is 1-3, wherein 1 is a light-load platform area, the light-load platform area is a platform area with the platform area load rate being less than 30 percent, 2 is a normal platform area, the normal platform area is a platform area with the platform area load rate being more than or equal to 30 percent and less than 70 percent, 3 is a heavy-load platform area, and the heavy-load platform area is a platform area with the platform area load rate being more than or equal to 70 percent;
The third position from left to right is in a value range of 1-3, wherein 1 is a region with small load change, the region with small load change is a region with a load shape factor of less than 0.9, 2 is a region with normal load change, the region with normal load change is a region with a load shape factor of more than or equal to 0.9 and less than 2, and 3 is a region with large load change, and the region with large load change is a region with a load shape factor of more than or equal to 2.
5. An electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the line loss correction method of any one of claims 1 to 2 for accounting for acquired data quality and operational status of a region.
6. A computer readable storage medium storing at least one instruction that when executed by a processor implements the line loss correction method of any one of claims 1 to 2 for accounting for acquired data quality and operational status of a region.
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| CN110070282A (en) * | 2019-04-17 | 2019-07-30 | 国网安徽省电力公司 | A kind of low-voltage platform area line loss analysis of Influential Factors method based on Synthesis Relational Grade |
| CN113887916A (en) * | 2021-09-27 | 2022-01-04 | 国网山西省电力公司电力科学研究院 | Dynamic quantitative evaluation method and system for line loss of power distribution network |
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| CN115713255A (en) * | 2022-11-04 | 2023-02-24 | 国网甘肃省电力公司张掖供电公司 | Low-voltage transformer area line loss estimation method based on deep learning |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110070282A (en) * | 2019-04-17 | 2019-07-30 | 国网安徽省电力公司 | A kind of low-voltage platform area line loss analysis of Influential Factors method based on Synthesis Relational Grade |
| CN113887916A (en) * | 2021-09-27 | 2022-01-04 | 国网山西省电力公司电力科学研究院 | Dynamic quantitative evaluation method and system for line loss of power distribution network |
Non-Patent Citations (1)
| Title |
|---|
| 多参量修正的输电线路线损优化计算方法;牛寅生 等;《电气应用》;20230430;第42卷(第4期);35-40 * |
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