[go: up one dir, main page]

CN114152896A - Misalignment replacing system based on acquisition platform - Google Patents

Misalignment replacing system based on acquisition platform Download PDF

Info

Publication number
CN114152896A
CN114152896A CN202111431138.3A CN202111431138A CN114152896A CN 114152896 A CN114152896 A CN 114152896A CN 202111431138 A CN202111431138 A CN 202111431138A CN 114152896 A CN114152896 A CN 114152896A
Authority
CN
China
Prior art keywords
electricity
data
data acquisition
station area
electricity consumption
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111431138.3A
Other languages
Chinese (zh)
Inventor
周玉
蔡奇新
陈霄
王黎明
李悦
穆卓文
高凡
王舒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Marketing Center of State Grid Jiangsu Electric Power Co Ltd
Original Assignee
Marketing Center of State Grid Jiangsu Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Marketing Center of State Grid Jiangsu Electric Power Co Ltd filed Critical Marketing Center of State Grid Jiangsu Electric Power Co Ltd
Priority to CN202111431138.3A priority Critical patent/CN114152896A/en
Publication of CN114152896A publication Critical patent/CN114152896A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52—Testing for short-circuits, leakage current or ground faults
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • Public Health (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a misalignment replacing system based on an acquisition platform, which relates to the technical field of power monitoring and comprises the acquisition platform, wherein the acquisition platform is in communication connection with a data acquisition module, a data processing module and a data analysis module; the data acquisition module consists of a plurality of ammeter data acquisition terminals and a distribution room data acquisition terminal, wherein the ammeter data acquisition terminals are used for acquiring the operation parameters of the intelligent electric energy meter, and the distribution room data acquisition terminals are used for acquiring the electricity use parameters of the distribution room; the data processing module is used for establishing a singular variance user optimization model and a transformer area power utilization error model according to the electric quantity use data of the intelligent electric energy meter and the transformer area power utilization data acquired by the data acquisition module; and finally, analyzing the electric quantity use parameters of the transformer area and the electricity utilization data of the intelligent electric energy meter through a data analysis module.

Description

Misalignment replacing system based on acquisition platform
Technical Field
The invention belongs to the technical field of power monitoring, and particularly relates to a misalignment replacement system based on an acquisition platform.
Background
The electric power system is an electric energy production and consumption system which consists of links such as a power plant, a power transmission and transformation line, a power supply and distribution station, power utilization and the like. The system has the functions that primary energy in the nature is converted into electric energy through a power generation power device, and then the electric energy is supplied to each user through power transmission, power transformation and power distribution; in order to realize the function, the power system is also provided with corresponding information and control systems at each link and different levels, and the production process of the electric energy is measured, regulated, controlled, protected, communicated and scheduled so as to ensure that users obtain safe and high-quality electric energy;
in the prior art, the electric quantity used by the intelligent electric meter can only be monitored, and the abnormal conditions such as leakage current and the like in a circuit system cannot be timely perceived, so that unnecessary power loss is caused.
Disclosure of Invention
The invention aims to provide a misalignment replacement system based on an acquisition platform.
The purpose of the invention can be realized by the following technical scheme: the misalignment replacing system based on the acquisition platform comprises the acquisition platform, wherein the acquisition platform is in communication connection with a data acquisition module, a data processing module and a data analysis module;
the data acquisition module consists of a plurality of ammeter data acquisition terminals and a distribution room data acquisition terminal, wherein the ammeter data acquisition terminals are used for acquiring the operation parameters of the intelligent electric energy meter, and the distribution room data acquisition terminals are used for acquiring the electricity use parameters of the distribution room; the data processing module is used for establishing a singular variance user optimization model and a transformer area power utilization error model according to the electric quantity use data of the intelligent electric energy meter and the transformer area power utilization data acquired by the data acquisition module; and finally, analyzing the electric quantity use parameters of the transformer area and the electricity utilization data of the intelligent electric energy meter through a data analysis module.
Further, the process that the ammeter data acquisition terminal acquires the operating parameters of the intelligent electric energy meter comprises:
installing an ammeter data acquisition terminal in each intelligent electric energy meter, acquiring the position of the ammeter data acquisition terminal, and recording all ammeter data acquisition terminals in the same distribution area range as an ammeter data acquisition terminal group according to the position of the ammeter data acquisition terminal; the electric quantity use data of the corresponding intelligent electric energy meters are acquired through the electric energy data acquisition terminal, and the electric quantity use data of each intelligent electric energy meter are frozen at specific time every day, so that the frozen electric quantity is acquired, and the frozen electric quantity is recorded as daily electric quantity of the intelligent electric energy meter.
Further, the process of the station area data acquisition terminal acquiring the station area electricity usage parameters includes:
and a plurality of power consumption metering points are arranged in the range of each distribution area, a distribution area data acquisition terminal is arranged at the power consumption metering points of each distribution area, and the power consumption data of the distribution area are acquired through the distribution area data acquisition terminal.
Further, the process of establishing the singular variance user optimization model includes:
the method comprises the steps that the average value of daily electricity consumption of users in a distribution area is obtained by taking a month as a unit, then the variance of the daily electricity consumption of the users is obtained, a variance threshold value is set, when the variance of the daily electricity consumption of the users is larger than the variance threshold value, the users are marked as singular variance users, and the intelligent electric energy meter of the singular variance users is marked;
and when the variance of the daily electricity consumption of the user is smaller than the variance threshold value, the daily electricity consumption of the user is continuously constant, no large electricity consumption fluctuation exists, and the user is marked as a constant user.
Further, the process of establishing the power utilization error model of the distribution room comprises:
calculating to obtain the fitting power consumption of each intelligent electric energy meter according to the error value of each intelligent electric energy meter and the corresponding daily electric energy meter, summarizing the fitting power consumption of all the intelligent electric energy meters to obtain the total fitting power consumption of the user, summarizing the daily electric consumption of all the intelligent electric energy meters to obtain the real total power consumption of the user, taking the difference between the total power supply quantity of the transformer area and the total fitting power consumption of the user as a fitting residual error, taking the difference between the total power supply quantity of the transformer area and the real power consumption of the user as an actual residual error, evaluating a model result by calculating the root mean square error of the fitting residual error and the actual residual error, obtaining the evaluation coefficient of the transformer area power consumption error model, and judging the reliability of the model calculation result by the evaluation coefficient of the transformer area power consumption error model.
Further, the data analysis module is used for analyzing the electricity usage parameters of the distribution room and the electricity consumption data of the intelligent electric energy meter, and the analysis process comprises the following steps:
the method comprises the steps that a line between two electricity utilization metering points is used as an analysis unit, an intelligent electric energy meter between the two electricity utilization metering points is marked as a load metering point, a tree topology is formed by the relation between the electricity utilization metering points and the load metering points, and the electricity utilization metering points provide electricity quantity input for the next-stage load metering point through the line.
Based on the topological structure and the energy conservation law, a relational equation of the electric quantity of the line electricity consumption metering point, the electric quantity of the load metering point, the line loss and the equipment fixed loss is established:
the electricity consumption of the line electricity consumption metering points is equal to the electricity consumption of each load metering point, the line loss and the equipment fixed loss.
Furthermore, when the data acquisition module acquires the electricity utilization data of the transformer area, the time for uploading the electricity utilization data of the transformer area to the data processing module is consistent with the time for uploading the electricity utilization data of the intelligent electric energy meter to the data processing module.
Further, the electricity consumption data of the distribution room comprises power supply quantity, line loss electricity quantity, total electricity selling quantity and electricity consumption quantity of electricity consumption metering points.
Compared with the prior art, the invention has the beneficial effects that: the station area coverage, the intelligent electric energy meter coverage and the abnormity checking accuracy which are evaluated by analyzing the state of the intelligent electric energy meter are subjected to multi-angle analysis, service personnel can deeply know the application condition of the module from multiple angles, power consumption metering points are arranged in the range of the station area, and whether electric leakage points exist in the range of the station area is judged through the relation between the power supply quantity and the power selling quantity of the power consumption metering points, so that the power is prevented from being lost accidentally or being stolen illegally.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a misalignment replacement system based on an acquisition platform includes an acquisition platform, wherein the acquisition platform is communicatively connected with a data acquisition module, a data processing module, and a data analysis module;
the data acquisition module consists of a plurality of ammeter data acquisition terminals and a distribution room data acquisition terminal, wherein the ammeter data acquisition terminals are used for acquiring the operation parameters of the intelligent electric energy meter, and the distribution room data acquisition terminals are used for acquiring the electricity use parameters of the distribution room;
the process that the ammeter data acquisition terminal obtains the operating parameters of the intelligent electric energy meter specifically includes:
installing an electric meter data acquisition terminal in each intelligent electric energy meter, numbering the electric meter data acquisition terminals, and recording as i, i is 1, 2, … …, n, n is an integer;
acquiring the position of an ammeter data acquisition terminal, and recording all ammeter data acquisition terminals in the same distribution area range as an ammeter data acquisition terminal group according to the position of the ammeter data acquisition terminal;
acquiring corresponding electric quantity use data of the intelligent electric energy meter through the electric energy data acquisition terminal, and enabling the electric quantity use data to be acquiredFreezing the electricity consumption data of each intelligent electric energy meter at specific time every day to obtain frozen electricity, recording the frozen electricity as daily electricity of the intelligent electric energy meter, and marking the daily electricity of the k day of each intelligent electric energy meter as BRDk，iAnd then uploading the daily electric quantity of each intelligent electric energy meter to the data processing module.
The specific process of the station area data acquisition terminal for acquiring the station area electric quantity use parameters comprises the following steps:
setting a plurality of power consumption metering points in the range of each distribution area, marking each power consumption metering point, installing a distribution area data acquisition terminal at each power consumption metering point of each distribution area, recording the distribution area data acquisition terminal as j, wherein j is 1, 2, … …, and m is an integer, and acquiring power consumption data of the distribution area, wherein the power consumption data of the distribution area comprises power supply quantity, line loss quantity, total power sale quantity and power consumption of the power consumption metering points;
respectively recording the power supply quantity, the line loss quantity, the total electricity sales quantity and the electricity consumption quantity of each electricity consumption metering point on the k day of the distribution room as TGDk，j、XSDk，j、ZSDk，jAnd JLDk，jAnd then uploading the power supply amount, the line loss amount, the total electricity selling amount and the electricity consumption amount of the electricity consumption metering point of the distribution room to a data processing module.
It should be further noted that, in a specific implementation process, when the data acquisition module acquires the electricity consumption data of the distribution room, time for uploading the electricity consumption data of the distribution room to the data processing module is consistent with time for uploading the electricity consumption data of the intelligent electric energy meter to the data processing module, so that time delay between the electricity consumption data of the distribution room and the electricity consumption data of the intelligent electric energy meter is avoided, and a large difference is generated in a data analysis result;
the data processing module is used for processing the electric quantity use data of the intelligent electric energy meter and the electricity utilization data of the transformer area, which are acquired by the data acquisition module, and the specific processing process comprises the following steps:
respectively establishing a singular variance user optimization model and a power utilization error model of a transformer area;
the process for establishing the singular variance user optimization model comprises the following steps:
the method comprises the steps that the average value of daily electricity consumption of users in a distribution area is obtained by taking a month as a unit, then the variance of the daily electricity consumption of the users is obtained, a variance threshold value is set, when the variance of the daily electricity consumption of the users is larger than the variance threshold value, the users are marked as singular variance users, and the intelligent electric energy meter of the singular variance users is marked;
when the variance of the daily electricity consumption of the user is smaller than the variance threshold value, the daily electricity consumption of the user is continuously constant, no large electricity consumption fluctuation exists, and the user is marked as a constant user;
it should be further explained that, in the specific implementation process, when the daily electricity consumption of the user is constant, it indicates that the electricity consumption of the user is continuously constant, and there is no large electricity consumption fluctuation, and for the intelligent electric energy meter, the signal equivalent to the intelligent electric energy meter is weak, which easily causes insensitivity in the analysis process, thereby causing the inaccurate analysis result;
it is further noted that, in the specific implementation process, the station area power utilization error model can obtain an error value of each intelligent electric energy meter, the fitting power consumption of each intelligent electric energy meter is obtained through calculation according to the error value of each intelligent electric energy meter and the corresponding daily power consumption, the fitting power consumption of all the intelligent electric energy meters is summarized to obtain the total fitting power consumption of the user, the daily power consumption of all the intelligent electric energy meters is summarized to obtain the total real power consumption of the user, then, the difference between the total power consumption of the station area and the total fitting power consumption of the user is a fitting residual error, the difference between the total power consumption of the station area and the total real power consumption of the user is an actual residual error, and the Root Mean Square Error (RMSE) of the fitting residual error and the actual residual error is calculated to evaluate the model result so as to judge the reliability of the model calculation result;
the establishing process of the power utilization error model of the transformer area comprises the following steps:
obtaining the error value of each intelligent electric energy meter and recording the error value as ei；
Obtaining the line loss electricity quantity of the kth antenna of the transformer area, and recording the line loss of the kth antenna as XSk；
By the formula:
(1+e1)φk，1+(1+e2)φk，2+…+(1+ei)φk，i+XSk＝ykobtaining the fitting total electricity consumption y of the k day of the userkWherein phik，iRandomly calibrating error coefficients of the intelligent electric energy meter marked as i on the kth day;
the total power supply of the k day of the platform area
Figure BDA0003380243030000061
Total amount of electricity actually used
Figure BDA0003380243030000062
Then, respectively obtaining fitting residual errors NC of the total power supply amount of the distribution room and the total fitting power consumption amount of the userkAnd the actual residual error SC of the total power supply amount of the distribution room and the actual power consumption total amount of the usersk；
Then by the formula
Figure BDA0003380243030000063
Obtaining the evaluation coefficient PX of the station area power utilization error model, it should be further explained that, in the specific implementation process, the smaller the evaluation coefficient PX of the station area power utilization error model is, the more accurate the calculation result of the station area power utilization error model is.
The data analysis module is used for analyzing the electricity usage parameters of the transformer area and the electricity consumption data of the intelligent electric energy meter, and the specific analysis process comprises the following steps:
by the formula ZSDk，j＝TGDk，j-ZSDk，j-JLDk，j+ alpha obtains total electricity sales ZSD of districtk，jThe relation between the power supply quantity, the line loss quantity and the electricity consumption quantity of the electricity consumption metering point, wherein alpha is the extra electricity quantity;
the method comprises the steps that a line between two electricity utilization metering points is used as an analysis unit, an intelligent electric energy meter between the two electricity utilization metering points is marked as a load metering point, a simple tree topology is formed by the relation between the electricity utilization metering points and the load metering points, and the electricity utilization metering points provide electricity input for the next-stage load metering point through the line.
Based on the topological structure and the energy conservation law, the general mathematical relation of the power consumption of the intelligent electric energy meter can be obtained, and a relation equation of a line inflow metering point, a special public variable metering meter, an operation error, line loss and fixed loss of metering equipment is established, wherein the relation equation specifically comprises the following steps:
the electricity consumption of the line electricity consumption metering points is equal to the electricity consumption of each load metering point, the line loss and the equipment fixed loss.
By optimizing an equation set, introducing the concept of a relative error weighted average value of electricity metering points, constructing an equation based on the average value, eliminating random noise influence and improving the accuracy of an error model;
set up extra power consumption threshold value, and compare extra electric quantity alpha and extra power consumption threshold value, when extra electric quantity alpha surpasses extra power consumption threshold value, then show that there is electric power loss point in the circuit between the power consumption metering point, then mark these two power consumption metering points and the circuit that corresponds, then send to the collection platform, after the information was received to the collection platform, then can arrange personnel to investigate corresponding power consumption metering point and circuit according to information content, thereby eliminate unusual point. The method comprises the steps of analyzing the coverage degree of a transformer area, the coverage degree of an intelligent electric energy meter and the abnormal checking accuracy of the state evaluation of the intelligent electric energy meter to analyze the multiple angles, enabling service personnel to understand the application condition of a module at multiple angles, setting power consumption metering points in the transformer area, and judging whether electric leakage points exist in the transformer area through the relation between the power supply quantity and the electricity selling quantity of the transformer area to the power consumption metering points, so that the electric power is prevented from being lost accidentally or stolen illegally.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.

Claims (8)

1.一种基于采集平台的失准更换系统，其特征在于，包括采集平台，所述采集平台通信连接有数据采集模块、数据处理模块以及数据分析模块；1. an inaccuracy replacement system based on an acquisition platform, is characterized in that, comprises an acquisition platform, and described acquisition platform is communicatively connected with a data acquisition module, a data processing module and a data analysis module; 所述数据采集模块由若干个电表数据采集终端和台区数据采集终端组成，所述电表数据采集终端用于获取智能电能表的运行参数，所述台区数据采集终端用于获取台区电量使用参数；所述数据处理模块用于根据数据采集模块所获取到的智能电能表的电量使用数据和台区的用电数据，建立奇异方差用户优化模型和台区用电误差模型；最后通过数据分析模块对台区的电量使用参数以及智能电能表的用电数据进行分析。The data acquisition module is composed of several electricity meter data acquisition terminals and station area data acquisition terminals. The electricity meter data acquisition terminal is used to obtain the operating parameters of the smart electric energy meter, and the station area data acquisition terminal is used to obtain the electricity usage of the station area. parameters; the data processing module is used to establish the singular variance user optimization model and the power consumption error model of the station area according to the electricity usage data of the smart energy meter and the electricity consumption data of the station area obtained by the data acquisition module; finally, through data analysis The module analyzes the power consumption parameters of the station area and the power consumption data of the smart energy meter. 2.根据权利要求1所述的一种基于采集平台的失准更换系统，其特征在于，所述电表数据采集终端获取智能电能表的运行参数的过程包括：2 . The system for replacing misalignment based on an acquisition platform according to claim 1 , wherein the process of acquiring the operating parameters of the smart electric energy meter by the electric meter data acquisition terminal comprises: 3 . 在每个智能电能表中安装电表数据采集终端，获取电表数据采集终端的所在位置，并根据电表数据采集终端的所在位置，将位于同一个台区范围内的所有电表数据采集终端记为一个电表数据采集终端组；通过电能数据采集终端获取对应的智能电能表的电量使用数据，并将每个智能电能表的电量使用数据在每日特定的时间进行冻结，从而获得冻结电量，将冻结电量记为该智能电能表的日用电量。Install the meter data acquisition terminal in each smart energy meter, obtain the location of the meter data acquisition terminal, and record all the meter data acquisition terminals located in the same station area as one meter according to the location of the meter data acquisition terminal Data collection terminal group; obtain the electricity usage data of the corresponding smart energy meter through the energy data collection terminal, and freeze the electricity usage data of each smart electricity meter at a specific time every day, so as to obtain the frozen electricity, and record the frozen electricity. is the daily electricity consumption of the smart energy meter. 3.根据权利要求2所述的一种基于采集平台的失准更换系统，其特征在于，所述台区数据采集终端获取台区电量使用参数的过程包括：3. a kind of misalignment replacement system based on acquisition platform according to claim 2, is characterized in that, the process that described station area data acquisition terminal obtains station area electric quantity usage parameter comprises: 在每个台区范围内设置若干个用电计量点，并在每个台区的用电计量点安装台区数据采集终端，通过台区数据采集终端获取该台区的用电数据。Set up several electricity metering points within each station area, and install station area data acquisition terminals at the electricity consumption metering points of each station area, and obtain the electricity consumption data of the station area through the station area data acquisition terminal. 4.根据权利要求3所述的一种基于采集平台的失准更换系统，其特征在于，所述奇异方差用户优化模型的建立过程包括：4. a kind of misalignment replacement system based on acquisition platform according to claim 3, is characterized in that, the establishment process of described singular variance user optimization model comprises: 以月为单位，获得台区下用户的日用电量的平均值，然后再获得用户日用电量的方差，并设置方差阈值，当用户日用电量的方差大于方差阈值时，则将该用户标记为奇异方差用户，并标记奇异方差用户的智能电能表；In the unit of month, the average value of the daily electricity consumption of users in the station area is obtained, and then the variance of the daily electricity consumption of the user is obtained, and the variance threshold is set. When the variance of the user's daily electricity consumption is greater than the variance threshold, the The user is marked as the singular variance user, and the smart energy meter of the singular variance user is marked; 当用户的日用电量的方差小于方差阈值时，则表示该用户的日用电量连续恒定，不存在大的用电波动，并将该用户标记为恒定用户。When the variance of the user's daily electricity consumption is less than the variance threshold, it means that the user's daily electricity consumption is continuously constant, and there is no large fluctuation in electricity consumption, and the user is marked as a constant user. 5.根据权利要求4所述的一种基于采集平台的失准更换系统，其特征在于，所述台区用电误差模型的建立过程包括：5. a kind of misalignment replacement system based on acquisition platform according to claim 4, is characterized in that, the establishment process of described platform area power consumption error model comprises: 根据每个智能电能表的误差值与其对应的日用电量计算得到每个智能电能表的拟合用电量，将所有智能电能表的拟合用电量进行汇总，获得用户拟合用电总量，将所有智能电能表的日用电量进行汇总获得用户真实用电总量，然后再将台区的总供电量与用户拟合用电总量的差为拟合残差，台区总供电量与用户真实用电总量的差为实际残差，通过拟合残差和实际残差的均方根误差来获得台区用电误差模型的评价系数，台区用电误差模型的评价系数值越小，则表示台区用电误差模型的计算结果越准确。According to the error value of each smart energy meter and its corresponding daily electricity consumption, the fitted electricity consumption of each smart electricity meter is calculated, and the fitted electricity consumption of all smart electricity meters is summarized to obtain the user's fitted electricity consumption. Summarize the daily electricity consumption of all smart energy meters to obtain the actual total electricity consumption of the user, and then take the difference between the total power supply in the station area and the user's fitted total electricity consumption as the fitting residual. The difference between the total power supply and the user's actual total electricity consumption is the actual residual. The smaller the evaluation coefficient value is, the more accurate the calculation result of the power consumption error model in the station area is. 6.根据权利要求5所述的一种基于采集平台的失准更换系统，其特征在于，所述数据分析模块用于对台区的电量使用参数以及智能电能表的用电数据进行分析，分析过程包括：6. A kind of misalignment replacement system based on acquisition platform according to claim 5, is characterized in that, described data analysis module is used to analyze the electricity consumption parameter of platform area and the electricity consumption data of smart electric energy meter, analyze The process includes: 以两个用电计量点之间的线路为分析单元，将两个用电计量点之间的智能电能表标记为负载计量点，用电计量点与负载计量点的关系组成树形拓扑，用电计量点通过线路为下一级负载计量点提供电量输入；Taking the line between the two electricity metering points as the analysis unit, the smart energy meter between the two electricity metering points is marked as the load metering point, and the relationship between the electricity metering point and the load metering point forms a tree topology. The electricity metering point provides electricity input for the next level load metering point through the line; 基于以上拓扑结构及能量守恒定律，建立线路用电计量点电量、负载计量点的用电量、线路损耗及设备固定损耗的关系方程：Based on the above topology and the law of energy conservation, the relationship equation between the power consumption of the line power metering point, the power consumption of the load metering point, the line loss and the fixed loss of the equipment is established: 线路用电计量点电量＝各个负载计量点用电量+线路损耗+设备固定损耗。Line power metering point power = power consumption of each load metering point + line loss + equipment fixed loss. 7.根据权利要求3所述的一种基于采集平台的失准更换系统，其特征在于，所述数据采集模块在获取台区的用电数据时，台区的用电数据上传至数据处理模块的时间与智能电能表的电量使用数据上传至数据处理模块的时间一致。7. A kind of misalignment replacement system based on acquisition platform according to claim 3, is characterized in that, when described data acquisition module acquires the electricity consumption data of station area, the electricity consumption data of station area is uploaded to data processing module The time is consistent with the time when the electricity usage data of the smart energy meter is uploaded to the data processing module. 8.根据权利要求3所述的一种基于采集平台的失准更换系统，其特征在于，所述台区的用电数据包括供电量、线损电量、总售电量、用电计量点的用电量。8 . The inaccuracy replacement system based on a collection platform according to claim 3 , wherein the power consumption data of the station area includes power supply, line loss power, total power sold, and use of power metering points. 9 . power.
CN202111431138.3A 2021-11-29 2021-11-29 Misalignment replacing system based on acquisition platform Pending CN114152896A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111431138.3A CN114152896A (en) 2021-11-29 2021-11-29 Misalignment replacing system based on acquisition platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111431138.3A CN114152896A (en) 2021-11-29 2021-11-29 Misalignment replacing system based on acquisition platform

Publications (1)

Publication Number Publication Date
CN114152896A true CN114152896A (en) 2022-03-08

Family

ID=80784125

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111431138.3A Pending CN114152896A (en) 2021-11-29 2021-11-29 Misalignment replacing system based on acquisition platform

Country Status (1)

Country Link
CN (1) CN114152896A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115629354A (en) * 2022-11-30 2023-01-20 北京志翔科技股份有限公司 Method and device for identifying out-of-tolerance electric energy meter based on power consumption adjustment amplitude
CN115656914A (en) * 2022-12-12 2023-01-31 湖南省计量检测研究院 Smart electric meter metering accuracy detection method and device based on big data
CN116166857A (en) * 2023-04-26 2023-05-26 国网吉林省电力有限公司信息通信公司 Big data-based power data processing system
CN117992889A (en) * 2024-01-15 2024-05-07 国网江苏省电力有限公司营销服务中心 Medium-high voltage misalignment monitoring system based on big data analysis

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111521868A (en) * 2020-04-28 2020-08-11 广东电网有限责任公司梅州供电局 Method and device for screening electricity stealing users based on big metering data
CN111693795A (en) * 2020-03-30 2020-09-22 贵州电网有限责任公司 Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method
CN112686493A (en) * 2020-11-24 2021-04-20 国网新疆电力有限公司营销服务中心(资金集约中心、计量中心) Method for evaluating running state and replacing of intelligent electric meter in real time by relying on big data
CN113098130A (en) * 2021-03-02 2021-07-09 国网河北省电力有限公司邢台供电分公司 Analysis system for monitoring line loss abnormity problem of low-voltage transformer area

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111693795A (en) * 2020-03-30 2020-09-22 贵州电网有限责任公司 Intelligent electric meter-based transformer area line loss rate evaluation and abnormity judgment method
CN111521868A (en) * 2020-04-28 2020-08-11 广东电网有限责任公司梅州供电局 Method and device for screening electricity stealing users based on big metering data
CN112686493A (en) * 2020-11-24 2021-04-20 国网新疆电力有限公司营销服务中心(资金集约中心、计量中心) Method for evaluating running state and replacing of intelligent electric meter in real time by relying on big data
CN113098130A (en) * 2021-03-02 2021-07-09 国网河北省电力有限公司邢台供电分公司 Analysis system for monitoring line loss abnormity problem of low-voltage transformer area

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115629354A (en) * 2022-11-30 2023-01-20 北京志翔科技股份有限公司 Method and device for identifying out-of-tolerance electric energy meter based on power consumption adjustment amplitude
CN115629354B (en) * 2022-11-30 2023-04-07 北京志翔科技股份有限公司 Method and device for identifying out-of-tolerance electric energy meter based on power consumption adjustment amplitude
CN115656914A (en) * 2022-12-12 2023-01-31 湖南省计量检测研究院 Smart electric meter metering accuracy detection method and device based on big data
CN115656914B (en) * 2022-12-12 2023-10-10 湖南省计量检测研究院 Intelligent ammeter metering accuracy detection method and device based on big data
CN116166857A (en) * 2023-04-26 2023-05-26 国网吉林省电力有限公司信息通信公司 Big data-based power data processing system
CN116166857B (en) * 2023-04-26 2023-08-15 国网吉林省电力有限公司信息通信公司 Power data processing system based on big data
CN117992889A (en) * 2024-01-15 2024-05-07 国网江苏省电力有限公司营销服务中心 Medium-high voltage misalignment monitoring system based on big data analysis

Similar Documents

Publication Publication Date Title
CN114152896A (en) Misalignment replacing system based on acquisition platform
CN114640173B (en) Early warning model of transformer and generator based on many characteristic quantities
CN110375787B (en) An online evaluation method for the running state of a metering instrument
US6785620B2 (en) Energy efficiency measuring system and reporting methods
EP1875322B1 (en) Method and system for ac power grid monitoring
CN105320123B (en) A kind of measuring and controlling equipment health status evaluation system and method based on online monitoring data
CN116800517A (en) Data acquisition intelligent management system based on data analysis
CN113032454A (en) Interactive user power consumption abnormity monitoring and early warning management cloud platform based on cloud computing
CN103825364B (en) A kind of boss being applied to Power system state estimation stands information interacting method
CN104269844B (en) A kind of state of electric distribution network estimation abnormality recognition method and its device
CN117932501A (en) Electric energy meter running state management method and system
Ashok et al. Systematic study of data requirements and AMI capabilities for smart meter analytics
CN105277910B (en) Method and system for remotely evaluating reliability of electric energy quality on-line monitoring device
CN104793270B (en) A kind of synthetic determination method of equipment running status in Integrated Meteorological Observation net
CN103605326A (en) Real-time on-line energy monitoring and management system and energy management and optimization method
CN107179146A (en) A kind of transformer oil surface thermometer intelligent online method of calibration
CN115684809A (en) User side power consumption test system based on virtual power plant
CN118100446A (en) Intelligent detection method for node running state of power system
CN112381467A (en) Artificial intelligence line loss analysis system based on big data of distribution station district total collection
CN115856760A (en) Dynamic verification system and method based on electric energy meter data information
CN202886434U (en) Civil metering ammeter electricity theft and leakage monitoring system
CN117220417B (en) Dynamic monitoring method and system for consumer-side electrical load
CN210572666U (en) IoT-based cloud service system for temperature monitoring of distribution transformers in rural power grids
CN110190811A (en) Solar panel on-line monitoring system and equipment
CN219577091U (en) Data simulation system of Internet of things equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20220308