CN120914800A - Polar line voltage bias optimization method and system based on bipolar flexible direct current system - Google Patents
Polar line voltage bias optimization method and system based on bipolar flexible direct current systemInfo
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- CN120914800A CN120914800A CN202511207781.6A CN202511207781A CN120914800A CN 120914800 A CN120914800 A CN 120914800A CN 202511207781 A CN202511207781 A CN 202511207781A CN 120914800 A CN120914800 A CN 120914800A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/12—Circuit arrangements for AC mains or AC distribution networks for adjusting voltage in AC networks by changing a characteristic of the network load
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/36—Arrangements for transfer of electric power between AC networks via a high-tension DC link
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
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Abstract
The invention discloses a polar voltage bias optimization method and a polar voltage bias optimization system based on a bipolar flexible direct current system, which are applied to the technical field of direct current transmission and comprise the steps of processing positive-level full-bridge sub-module data and positive-level half-bridge sub-module data to obtain positive-pressure input quantity ratio; the method comprises the steps of determining initial pole line voltage offset, carrying out self-adaptive modal decomposition processing on the initial pole line voltage offset to obtain average voltage, inputting positive voltage input quantity ratio, data of each phase of bridge arm submodule and the average voltage into a pole line voltage relation which is built in advance to obtain pole line voltage target value, carrying out negative voltage back voltage input processing on data of a positive level full bridge submodule to obtain maximum operating voltage of a target bipolar flexible direct current system, and generating a pole line voltage offset optimization scheme based on the pole line voltage target value and the maximum operating voltage. The method provided by the embodiment of the invention can solve the technical problem that the existing method cannot adapt to the complex and various characteristics of the bipolar system operation mode.
Description
Technical Field
The invention relates to the technical field of direct current transmission, in particular to a polar voltage bias optimization method and system based on a bipolar flexible direct current system.
Background
The flexible direct current transmission technology is a novel transmission technology based on a voltage source converter, a self-turn-off device and a pulse width modulation technology, and has the advantages of being capable of supplying power to a passive network, free of commutation failure, free of communication between converter stations, easy to form a multi-terminal direct current system and the like.
The polar line voltage bias (Pole Voltage Bias) is a core control concept in a bipolar flexible direct current transmission system, and refers to asymmetric voltage applied between a positive electrode direct current bus and a negative electrode direct current bus for realizing system stability and performance optimization. In the prior art, the polar line voltage bias data acquisition of the bipolar flexible direct current system depends on the setting of a fixed threshold, but the fixed threshold cannot adapt to the characteristics of complex and various operation modes of the bipolar system, and significant uncertainty disturbance is introduced to the polar line voltage of the system, so that the risk complexity of overvoltage control of a power grid is increased.
Disclosure of Invention
The invention provides a polar voltage bias optimization method and a polar voltage bias optimization system based on a bipolar flexible direct current system, which are used for solving the technical problem that the existing method cannot adapt to the complex and diverse characteristics of the operation mode of the bipolar system so as to ensure the operation reliability of an electric power system.
In order to solve the technical problems, the embodiment of the invention provides a polar voltage bias optimization method based on a bipolar flexible direct current system, which comprises the following steps:
Acquiring positive level full-bridge sub-module data and positive level half-bridge sub-module data of a target bipolar flexible direct current system and bridge arm sub-module data of each phase;
proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
determining an initial polar line voltage offset of the target bipolar flexible direct current system;
Performing adaptive modal decomposition processing on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system;
Inputting the positive pressure input quantity ratio, the data of each phase bridge arm submodule and the average voltage into a pre-constructed polar line voltage relation to obtain a polar line voltage target value;
Performing negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
and generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage.
As one preferable scheme, the determining the initial line voltage offset of the target bipolar flexible direct current system includes:
Acquiring the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance of the target bipolar flexible direct current system; acquiring high-power pole data and low-power pole data in the target bipolar flexible direct current system;
Determining an unbalanced power based on the high power pole data and the low power pole data;
And inputting the unbalanced power, the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance into a polar line voltage offset relational expression to obtain an initial polar line voltage offset.
As one preferable scheme, the performing adaptive modal decomposition processing on the initial polar line voltage offset to obtain an average voltage of the target bipolar flexible direct current system includes:
Performing amplitude-frequency anomaly correction processing on the initial polar line voltage offset to obtain an equalization offset sequence;
and carrying out self-adaptive modal decomposition treatment on the balanced bias sequence by using a parameter self-tuning variation modal decomposition technology to obtain the average voltage of the target bipolar flexible direct current system.
As one preferable scheme, the negative level back-pressure input processing is carried out on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system, and the method comprises the following steps:
performing negative level back pressure input processing on the data of the positive level full-bridge submodule to obtain a module level back pressure capacity matrix;
and carrying out reverse voltage capacity aggregation treatment on the module-level reverse voltage capacity matrix by using a distributed robust optimizer to obtain the maximum operating voltage of the target bipolar flexible direct current system.
As one preferable solution, the generating the polar voltage bias optimization solution of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage includes:
Carrying out dynamic verification processing on the polar line voltage target value and the maximum operating voltage to obtain a safety margin ratio;
and executing a polar line voltage bias optimization scheme matched with the safety margin ratio based on the safety margin ratio.
Another embodiment of the present invention provides a pole line voltage bias optimization system based on a bipolar flexible dc system, comprising:
the acquisition module is used for acquiring the positive level full-bridge submodule data, the positive level half-bridge submodule data and each phase of bridge arm submodule data of the target bipolar flexible direct current system;
The proportioning module is used for proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
the determining module is used for determining the initial polar line voltage offset of the target bipolar flexible direct current system;
The decomposition module is used for carrying out self-adaptive modal decomposition treatment on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system;
The calculation module is used for inputting the positive pressure input quantity ratio, the data of each phase of bridge arm submodule and the average voltage into a pre-constructed polar line voltage relational expression to obtain a polar line voltage target value;
the processing module is used for carrying out negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
And the generation module is used for generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage.
As one preferable scheme, the determining the initial line voltage offset of the target bipolar flexible direct current system includes:
Acquiring the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance of the target bipolar flexible direct current system; acquiring high-power pole data and low-power pole data in the target bipolar flexible direct current system;
Determining an unbalanced power based on the high power pole data and the low power pole data;
And inputting the unbalanced power, the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance into a polar line voltage offset relational expression to obtain an initial polar line voltage offset.
As one preferable scheme, the performing adaptive modal decomposition processing on the initial polar line voltage offset to obtain an average voltage of the target bipolar flexible direct current system includes:
Performing amplitude-frequency anomaly correction processing on the initial polar line voltage offset to obtain an equalization offset sequence;
and carrying out self-adaptive modal decomposition treatment on the balanced bias sequence by using a parameter self-tuning variation modal decomposition technology to obtain the average voltage of the target bipolar flexible direct current system.
As one preferable scheme, the negative level back-pressure input processing is carried out on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system, and the method comprises the following steps:
performing negative level back pressure input processing on the data of the positive level full-bridge submodule to obtain a module level back pressure capacity matrix;
and carrying out reverse voltage capacity aggregation treatment on the module-level reverse voltage capacity matrix by using a distributed robust optimizer to obtain the maximum operating voltage of the target bipolar flexible direct current system.
As one preferable solution, the generating the polar voltage bias optimization solution of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage includes:
Carrying out dynamic verification processing on the polar line voltage target value and the maximum operating voltage to obtain a safety margin ratio;
and executing a polar line voltage bias optimization scheme matched with the safety margin ratio based on the safety margin ratio.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
The method comprises the steps of obtaining positive level full-bridge sub-module data, positive level half-bridge sub-module data and each phase of bridge arm sub-module data of a target bipolar flexible direct current system, carrying out proportioning processing on the positive level full-bridge sub-module data and the positive level half-bridge sub-module data to obtain positive voltage input quantity proportioning of the target bipolar flexible direct current system, determining initial polar line voltage offset of the target bipolar flexible direct current system, carrying out self-adaptive modal decomposition processing on the initial polar line voltage offset to obtain average voltage of the target bipolar flexible direct current system, inputting the positive voltage input quantity proportioning, each phase of bridge arm sub-module data and the average voltage into a pre-constructed polar line voltage relational expression to obtain a polar line voltage target value, carrying out negative level back voltage input processing on the positive level full-bridge sub-module data to obtain maximum operation voltage of the target bipolar flexible direct current system, and generating a polar line voltage offset optimization scheme of the target bipolar flexible direct current system based on the polar line voltage target value and the maximum operation voltage. Compared with the prior art, the method solves the technical problems of complex and various operation modes of the bipolar flexible direct current system through dynamic proportioning of the full-bridge sub-module, the half-bridge sub-module, self-adaptive voltage decomposition and multi-objective collaborative optimization, and improves the reliability of the power system.
Drawings
FIG. 1 is a flow chart of a pole line voltage bias optimization method based on a bipolar flexible DC system in one embodiment of the invention;
FIG. 2 is a schematic diagram of a pole line voltage bias optimization system based on a bipolar flexible DC system in one embodiment of the invention;
FIG. 3 is a schematic diagram of a pole line voltage bias optimization device based on a bipolar flexible DC system in one embodiment of the invention;
Reference numerals:
11, an acquisition module; 12 parts of proportioning module, 13 parts of determining module, 14 parts of decomposing module, 15 parts of calculating module, 16 parts of processing module, 17 parts of generating module, 21 parts of processor, 22 parts of memory.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention, and the purpose of these embodiments is to provide a more thorough and complete disclosure of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless defined otherwise. The terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention, as the particular meaning of the terms in the present invention will be understood by those of ordinary skill in the art in the detailed description of the invention.
An embodiment of the present invention provides a method for optimizing a polar voltage bias based on a bipolar flexible dc system, and in particular, referring to fig. 1, fig. 1 is a schematic flow diagram of the method for optimizing a polar voltage bias based on a bipolar flexible dc system according to one embodiment of the present invention, where the method includes:
S1, acquiring positive level full-bridge sub-module data, positive level half-bridge sub-module data and each phase of bridge arm sub-module data of a target bipolar flexible direct current system;
s2, proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
S3, determining an initial polar line voltage offset of the target bipolar flexible direct current system;
S4, performing self-adaptive modal decomposition processing on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system;
s5, inputting the positive pressure input quantity ratio, the data of each phase of bridge arm submodule and the average voltage into a pre-constructed polar line voltage relation to obtain a polar line voltage target value;
S6, carrying out negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
And S7, generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage.
Specifically, key parameters of a positive Ping Quanqiao submodule and a positive level half-bridge submodule of the target bipolar flexible direct-current system are obtained, including capacitance capacity, switching frequency, voltage withstand level and the like, and the total number of the submodules of each phase of bridge arm is counted.
And matching the data of the positive level full-bridge sub-module and the data of the positive level half-bridge sub-module to obtain the positive voltage input quantity matching of the target bipolar flexible direct current system, specifically, based on an operation mode, such as bipolar symmetry or unipolar metal loop, determining the optimal matching of the positive level Quan Qiaozi module and the positive level half-bridge sub-module through a linear programming model. For example, when bipolar symmetric operation is performed, the input proportion of the full-bridge submodule at the positive level is 20% so as to balance the negative voltage requirement, and when unipolar operation is performed, the proportion of the full-bridge submodule at the positive level is raised to 40% so as to expand the voltage regulation range, and the proportion realizes the balance of redundancy and efficiency through dynamic adjustment, so that the problem that the traditional fixed proportion cannot adapt to multi-mode switching is solved.
It should be noted that, the constraint condition of the linear programming model combines with the physical requirement of the current operation mode to ensure that the input quantity of the submodules meets the limits of voltage regulation, redundancy, hardware capacity and the like, such as the capacity constraint of the submodules, the total input quantity constraint, the redundancy constraint or the special constraint in the bipolar symmetrical operation mode and the special constraint in the monopolar metal loop operation mode.
Preferably, the optimal solution can be obtained through a linear programming solver (such as a simplex method and an interior point method), so that the positive pressure input quantity ratio is obtained.
The linear programming model realizes the adaptation of the diversified operation modes of the bipolar system by dynamically adjusting constraint conditions, for example, the lower limit constraint of the investment of the positive-level full-bridge submodule is relaxed when the bipolar system operates symmetrically, the lower limit constraint of the investment of the positive-level full-bridge submodule is tightened when the bipolar system operates in a monopolar mode, and the redundancy constraint can be temporarily modified when the bipolar system fails, so that the voltage regulation capability is preferentially ensured. The design of constraint along with dynamic switching of the operation modes solves the problem that the traditional fixed proportion cannot adapt to multiple modes, and ensures that the system can take the adjustment capability, efficiency and reliability into consideration in any scene.
The initial pole line voltage offset of the target bipolar flexible direct current system is determined by acquiring a grounding pole line resistance, a grounding pole resistance and a neutral line metal loop resistance of the target bipolar flexible direct current system, acquiring high-power pole data and low-power pole data in the target bipolar flexible direct current system, determining unbalanced power based on the high-power pole data and the low-power pole data, and inputting the unbalanced power, the grounding pole line resistance, the grounding pole resistance and the neutral line metal loop resistance into a pole line voltage offset relation to obtain the initial pole line voltage offset.
And in the bipolar power balance running state, calculating an unbalanced differential flow in a grounding line or a metal loop. The unbalanced differential flow is formed by the fact that when the bipolar plates commonly transmit power, the high power pole and the low power pole generate current in the neutral line loop in opposite directions, so that differential flows with partial mutual cancellation are formed on the grounding line or the metal loop.
Based on the above calculation, it is possible to derive the initial line voltage offset due to the unbalanced power existing between the poles under the condition that the control voltage between the inverter terminals is kept constant.
The method comprises the steps of carrying out adaptive modal decomposition on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system, and concretely comprises the steps of carrying out amplitude-frequency anomaly correction on the initial polar line voltage offset to obtain an equalization offset sequence, and carrying out adaptive modal decomposition on the equalization offset sequence by utilizing a parameter self-tuning variation modal decomposition technology to obtain the average voltage of the target bipolar flexible direct current system.
The process of obtaining the average voltage of the initial polar line voltage offset through amplitude-frequency abnormality correction processing and parameter self-tuning variation modal decomposition is designed aiming at the characteristics of complex operation and multiple interference factors of a bipolar flexible direct current system.
The initial line voltage offset is the basic data of the line voltage deviation from an ideal value under different operation modes of the bipolar flexible direct current system, such as monopolar operation and bipolar symmetric/asymmetric operation. The frequency band with abnormal amplitude-frequency characteristics in the initial offset is identified through frequency spectrum analysis, and then the amplitude of the abnormal frequency band is corrected by adopting a targeted algorithm such as self-adaptive filtering, wavelet threshold denoising and the like, so that an equalization offset sequence with stable amplitude-frequency characteristics and conforming to the normal operation rule of the system is finally obtained.
Based on the characteristics of spectrum entropy, mutual information and the like of the equalization bias sequence, the number of modal components and penalty factors are automatically optimized by utilizing a parameter self-tuning variation modal decomposition technology, so that the actual characteristics of the sequence are dynamically matched in the decomposition process. By the technology, the equalization bias sequence is decomposed into a plurality of modal components, wherein the low-frequency modal components containing the steady-state operation characteristics of the system are integrated and calculated to obtain the average voltage reflecting the overall voltage level of the system.
Among them, variational Modal Decomposition (VMD) is a method of decomposing a complex signal into a plurality of modal components having a definite frequency center and bandwidth, each component representing a component of a certain stable frequency characteristic in the signal. The key parameters of the traditional VMD need to be set manually, and are difficult to adapt to the scene with changeable operation modes of the bipolar system.
In the process, the parameter self-tuning variable modal decomposition solves the problems that the traditional modal decomposition method is fixed in parameter and difficult to adapt to the diversity of the operation mode of the bipolar system, ensures that the decomposed modal components accurately reflect the internal law of the bias sequence through self-adaptive adjustment, and simultaneously accurately extracts average voltage from the processed sequence, eliminates transient interference, reserves the voltage characteristics reflecting the long-term stable operation of the system, and provides reliable reference parameters for the subsequent polar line voltage target value calculation.
And inputting the positive pressure input quantity ratio, the data of each phase of bridge arm submodule and the average voltage into a pre-constructed polar line voltage relation to obtain a polar line voltage target value.
In the process, the hardware characteristics, the control strategy and the steady-state operation reference of the bipolar flexible direct current system are integrated, the polar line voltage target value adapting to the current complex operation mode is dynamically generated, the positive voltage input quantity ratio reflects the input proportion of the full bridge and the half bridge sub-modules, the voltage withstanding capability and the fault ride-through capability of the system are directly related, the physical constraint of the hardware is reflected by the data of each phase of bridge arm sub-module, the average voltage represents the reference level of the steady-state operation of the system, the polar line voltage relation couples the three types of information through a mathematical model, and the superposition rule of the polar line voltage by combining the linear relation of the input quantity of the sub-modules and the output voltage and the bridge arm series connection characteristic is avoided, the defect that the traditional method is only based on the setting of rated voltage is overcome, and the depth adaptation of the target value and the current state of the system is realized.
The method comprises the steps of carrying out negative level back pressure input processing on positive level full-bridge sub-module data to obtain the maximum operating voltage of the target bipolar flexible direct current system, and carrying out back pressure capacity aggregation processing on the module level back pressure capacity matrix by using a distributed robust optimizer to obtain the maximum operating voltage of the target bipolar flexible direct current system.
The key characteristic of Quan Qiaozi modules is that positive and negative level output can be realized through bridge arm switch state switching, the negative level reverse voltage capability directly determines the voltage regulation limit of the system in fault ride-through or asymmetric operation, the physical characteristics of a single Quan Qiaozi module are converted into computable quantization parameters, the quantization parameters are structured and presented in a matrix form, the rows/columns of the matrix can respectively correspond to different sub-module numbers and reverse voltage scenes, matrix elements are actual reverse voltage capability values of the sub-modules in a specific scene, and the distributed robust optimizer is used for aggregating the reverse voltage potential of the single module through a robust algorithm on the basis of a module-level reverse voltage capability matrix, and finally outputting the maximum voltage value of the system in the current operation mode.
In step S7, an optimal scheme of the polar voltage bias of the target bipolar flexible direct current system is generated based on the polar voltage target value and the maximum operation voltage, and specifically comprises the steps of carrying out dynamic verification processing on the polar voltage target value and the maximum operation voltage to obtain a safety margin ratio, and executing the optimal scheme of the polar voltage bias matched with the safety margin ratio based on the safety margin ratio.
The line voltage target value is an ideal voltage value set by the system according to the operation requirement, and the maximum operation voltage is an absolute safety upper limit determined by system hardware. The core of the dynamic verification processing is to quantify the matching relation between the maximum operating voltage and the polar line voltage target value under the real-time operating scene, and calculate the safety margin ratio in a mode of calculating the ratio of the maximum operating voltage to the polar line voltage target value.
If the safety margin ratio is large (for example, more than or equal to 20%), the system is provided with sufficient safety buffer, the 'aggressive optimization' can be adopted, the power transmission efficiency or the voltage regulation response speed can be improved through fine adjustment of the offset, if the margin ratio is small (for example, 5% -10%), the conservative optimization is adopted, the offset is preferably maintained to be stable, the safety upper limit is prevented from being touched due to fluctuation, if the margin ratio is close to 0 or is negative, the emergency optimization is triggered, and the safety margin is forcedly recovered by reducing the target value or calling the redundant sub-module to improve the maximum operation voltage. The safety margin requirements under different operation modes are different, and the optimization logic can be automatically switched through the matching of the margin ratio and the scheme, for example, the efficiency priority is changed into the safety priority, and the method can adapt to various operation scenes of the bipolar system without manual intervention.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an optimization system for pole line voltage bias based on a bipolar flexible dc system according to an embodiment of the present invention, where the system includes:
The acquiring module 11 is configured to acquire positive level full-bridge submodule data, positive level half-bridge submodule data and each phase of bridge arm submodule data of the target bipolar flexible direct current system;
the proportioning module 12 is used for proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
A determining module 13, configured to determine an initial pole line voltage offset of the target bipolar flexible dc system;
The decomposition module 14 is configured to perform adaptive modal decomposition on the initial line voltage offset to obtain an average voltage of the target bipolar flexible dc system;
the calculation module 15 is configured to input the positive voltage input quantity ratio, the data of each phase of bridge arm submodule, and the average voltage into a pre-constructed polar line voltage relational expression, so as to obtain a polar line voltage target value;
The processing module 16 is used for performing negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
and the generating module 17 is used for generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operation voltage.
Referring to fig. 3, which is a schematic structural diagram of a bipolar flexible dc system-based polar voltage bias optimization device according to an embodiment of the present invention, the bipolar flexible dc system-based polar voltage bias optimization device according to an embodiment of the present invention includes a processor 21, a memory 22, and a computer program stored in the memory 22 and configured to be executed by the processor 21, where the processor 21 implements steps in an embodiment of a bipolar flexible dc system-based polar voltage bias optimization method, such as steps S1 to S7 in fig. 1, when executing the computer program, or implements functions of each module in the above device embodiments, such as the acquisition module 11, when executing the computer program.
Illustratively, the computer program may be split into one or more modules that are stored in the memory 22 and executed by the processor 21 to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program in the bipolar flexible direct current system based pole line voltage bias optimization device. For example, the computer program may be divided into an acquisition module 11, a proportioning module 12, a determination module 13, etc., each module having the following specific functions:
The acquiring module 11 is configured to acquire positive level full-bridge submodule data, positive level half-bridge submodule data and each phase of bridge arm submodule data of the target bipolar flexible direct current system;
the proportioning module 12 is used for proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
A determining module 13, configured to determine an initial pole line voltage offset of the target bipolar flexible dc system;
The decomposition module 14 is configured to perform adaptive modal decomposition on the initial line voltage offset to obtain an average voltage of the target bipolar flexible dc system;
the calculation module 15 is configured to input the positive voltage input quantity ratio, the data of each phase of bridge arm submodule, and the average voltage into a pre-constructed polar line voltage relational expression, so as to obtain a polar line voltage target value;
The processing module 16 is used for performing negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
and the generating module 17 is used for generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operation voltage.
The polar voltage bias optimization device based on the bipolar flexible direct current system can include, but is not limited to, a processor 21, a memory 22. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a bipolar flexible dc system-based line voltage bias optimization device, and is not meant to be limiting of a bipolar flexible dc system-based line voltage bias optimization device, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the bipolar flexible dc system-based line voltage bias optimization device may also include input-output devices, network access devices, buses, etc.
The Processor 21 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), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor 21 is a control center of the polar voltage bias optimizing device based on the bipolar flexible direct current system, and connects various parts of the whole polar voltage bias optimizing device based on the bipolar flexible direct current system by using various interfaces and lines.
The memory 22 may be used to store the computer program and/or module, and the processor 21 may implement various functions of the bipolar flexible dc system-based pole line voltage bias optimization device by running or executing the computer program and/or module stored in the memory 22 and invoking data stored in the memory 22. The memory 22 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 created according to the use of the cellular phone (such as audio data, a phonebook, etc.), etc. In addition, the memory 22 may include high-speed random access memory, and may also 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 magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The module integrated by the polar voltage bias optimizing device based on the bipolar flexible direct current system can be stored in a computer readable storage medium if the module is realized in the form of a software functional unit and sold or used as a separate 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, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.
Accordingly, an embodiment of the present invention provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, and when the computer program runs, the device where the computer readable storage medium is controlled to execute steps in the polar voltage bias optimization method based on the bipolar flexible dc system according to the foregoing embodiment, for example, steps S1 to S7 described in fig. 1.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
The method comprises the steps of obtaining positive level full-bridge sub-module data, positive level half-bridge sub-module data and each phase of bridge arm sub-module data of a target bipolar flexible direct current system, carrying out proportioning processing on the positive level full-bridge sub-module data and the positive level half-bridge sub-module data to obtain positive voltage input quantity proportioning of the target bipolar flexible direct current system, determining initial polar line voltage offset of the target bipolar flexible direct current system, carrying out self-adaptive modal decomposition processing on the initial polar line voltage offset to obtain average voltage of the target bipolar flexible direct current system, inputting the positive voltage input quantity proportioning, each phase of bridge arm sub-module data and the average voltage into a pre-constructed polar line voltage relational expression to obtain a polar line voltage target value, carrying out negative level back voltage input processing on the positive level full-bridge sub-module data to obtain maximum operation voltage of the target bipolar flexible direct current system, and generating a polar line voltage offset optimization scheme of the target bipolar flexible direct current system based on the polar line voltage target value and the maximum operation voltage. Compared with the prior art, the method solves the technical problems of complex and various operation modes of the bipolar flexible direct current system through dynamic proportioning of the full-bridge sub-module, the half-bridge sub-module, self-adaptive voltage decomposition and multi-objective collaborative optimization, and improves the reliability of the power system.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. The polar line voltage bias optimization method based on the bipolar flexible direct current system is characterized by comprising the following steps of:
Acquiring positive level full-bridge sub-module data and positive level half-bridge sub-module data of a target bipolar flexible direct current system and bridge arm sub-module data of each phase;
proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
determining an initial polar line voltage offset of the target bipolar flexible direct current system;
Performing adaptive modal decomposition processing on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system;
Inputting the positive pressure input quantity ratio, the data of each phase bridge arm submodule and the average voltage into a pre-constructed polar line voltage relation to obtain a polar line voltage target value;
Performing negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
and generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage.
2. The pole line voltage bias optimization method based on the bipolar flexible direct current system according to claim 1, wherein the determining the initial pole line voltage bias amount of the target bipolar flexible direct current system comprises:
Acquiring the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance of the target bipolar flexible direct current system; acquiring high-power pole data and low-power pole data in the target bipolar flexible direct current system;
Determining an unbalanced power based on the high power pole data and the low power pole data;
And inputting the unbalanced power, the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance into a polar line voltage offset relational expression to obtain an initial polar line voltage offset.
3. The method for optimizing the polar voltage bias based on the bipolar flexible direct current system according to claim 1, wherein the performing adaptive modal decomposition processing on the initial polar voltage bias to obtain the average voltage of the target bipolar flexible direct current system comprises:
Performing amplitude-frequency anomaly correction processing on the initial polar line voltage offset to obtain an equalization offset sequence;
and carrying out self-adaptive modal decomposition treatment on the balanced bias sequence by using a parameter self-tuning variation modal decomposition technology to obtain the average voltage of the target bipolar flexible direct current system.
4. The pole line voltage bias optimization method based on the bipolar flexible direct current system according to claim 1, wherein the performing negative level back-pressure input processing on the positive level full-bridge submodule data to obtain the maximum operating voltage of the target bipolar flexible direct current system comprises:
performing negative level back pressure input processing on the data of the positive level full-bridge submodule to obtain a module level back pressure capacity matrix;
and carrying out reverse voltage capacity aggregation treatment on the module-level reverse voltage capacity matrix by using a distributed robust optimizer to obtain the maximum operating voltage of the target bipolar flexible direct current system.
5. The pole line voltage bias optimization method based on the bipolar flexible direct current system according to claim 1, wherein the generating the pole line voltage bias optimization scheme of the target bipolar flexible direct current system based on the pole line voltage target value and the maximum operating voltage comprises:
Carrying out dynamic verification processing on the polar line voltage target value and the maximum operating voltage to obtain a safety margin ratio;
and executing a polar line voltage bias optimization scheme matched with the safety margin ratio based on the safety margin ratio.
6. An epipolar voltage bias optimization system based on a bipolar flexible direct current system, comprising:
the acquisition module is used for acquiring the positive level full-bridge submodule data, the positive level half-bridge submodule data and each phase of bridge arm submodule data of the target bipolar flexible direct current system;
The proportioning module is used for proportioning the positive-voltage full-bridge sub-module data and the positive-voltage half-bridge sub-module data to obtain the positive-voltage input quantity proportioning of the target bipolar flexible direct current system;
the determining module is used for determining the initial polar line voltage offset of the target bipolar flexible direct current system;
The decomposition module is used for carrying out self-adaptive modal decomposition treatment on the initial polar line voltage offset to obtain the average voltage of the target bipolar flexible direct current system;
The calculation module is used for inputting the positive pressure input quantity ratio, the data of each phase of bridge arm submodule and the average voltage into a pre-constructed polar line voltage relational expression to obtain a polar line voltage target value;
the processing module is used for carrying out negative level back-pressure input processing on the data of the positive level full-bridge submodule to obtain the maximum operating voltage of the target bipolar flexible direct current system;
And the generation module is used for generating a polar voltage bias optimization scheme of the target bipolar flexible direct current system based on the polar voltage target value and the maximum operating voltage.
7. The bipolar flexible dc system-based polar voltage bias optimization system of claim 6, wherein said determining an initial polar voltage bias amount for the target bipolar flexible dc system comprises:
Acquiring the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance of the target bipolar flexible direct current system; acquiring high-power pole data and low-power pole data in the target bipolar flexible direct current system;
Determining an unbalanced power based on the high power pole data and the low power pole data;
And inputting the unbalanced power, the grounding electrode line resistance, the grounding electrode resistance and the neutral wire metal loop resistance into a polar line voltage offset relational expression to obtain an initial polar line voltage offset.
8. The bipolar flexible dc system-based polar voltage bias optimization system of claim 6, wherein the performing adaptive modal decomposition on the initial polar voltage bias to obtain the average voltage of the target bipolar flexible dc system comprises:
Performing amplitude-frequency anomaly correction processing on the initial polar line voltage offset to obtain an equalization offset sequence;
and carrying out self-adaptive modal decomposition treatment on the balanced bias sequence by using a parameter self-tuning variation modal decomposition technology to obtain the average voltage of the target bipolar flexible direct current system.
9. The bipolar flexible dc system-based polar voltage bias optimization system of claim 6, wherein said performing negative level back-pressure input processing on the positive level full-bridge submodule data to obtain the maximum operating voltage of the target bipolar flexible dc system comprises:
performing negative level back pressure input processing on the data of the positive level full-bridge submodule to obtain a module level back pressure capacity matrix;
and carrying out reverse voltage capacity aggregation treatment on the module-level reverse voltage capacity matrix by using a distributed robust optimizer to obtain the maximum operating voltage of the target bipolar flexible direct current system.
10. The bipolar flexible dc system-based polar voltage bias optimization system of claim 6, wherein the generating the target bipolar flexible dc system polar voltage bias optimization scheme based on the polar voltage target value and the maximum operating voltage comprises:
Carrying out dynamic verification processing on the polar line voltage target value and the maximum operating voltage to obtain a safety margin ratio;
and executing a polar line voltage bias optimization scheme matched with the safety margin ratio based on the safety margin ratio.
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