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Commutation failure prevention and control optimization method and system based on SVM-PSO

A commutation failure, preventive control technology, applied in power transmission AC network, AC network voltage adjustment, single-network parallel feeding arrangement, etc. Configure global optimization and other issues to avoid commutation failure and achieve reactive power control

Active Publication Date: 2020-06-23
STATE GRID SHANDONG ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventor found that most of the existing research methods do not carry out quantitative collaborative optimization of multiple reactive power control variables, and it is difficult to achieve global optimization of reactive power configuration; and the calculation of optimization effect indicators based on time domain simulation has the problem of time-consuming

Method used

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  • Commutation failure prevention and control optimization method and system based on SVM-PSO
  • Commutation failure prevention and control optimization method and system based on SVM-PSO
  • Commutation failure prevention and control optimization method and system based on SVM-PSO

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Embodiment 1

[0033] In one or more implementations, a SVM-PSO-based commutation failure prevention control optimization method is disclosed, including:

[0034] Taking the reactive power control amount and the minimum number of faulty nodes that trigger commutation failure as the objective function, and taking into account the steady-state safety constraints, a multi-objective optimization function for optimizing the reactive power output and reactive power compensation capacity of the generator is established;

[0035] The improved particle swarm optimization algorithm with parameter adaptability is used to solve the multi-objective optimization function to obtain the optimal reactive power output and reactive power compensation capacity of the generator.

[0036] The above process will be described in detail below.

[0037] 1. Optimize the model

[0038] 1.1 Objective function

[0039] The prevention control optimization of commutation failure is to optimize the reactive power output a...

Embodiment 2

[0120] In one or more embodiments, a SVM-PSO-based commutation failure prevention control optimization system is disclosed, including:

[0121] A device for establishing a multi-objective optimization function for optimizing the reactive power output and reactive power compensation capacity of the generator with the reactive power control amount and the minimum number of faulty nodes triggering commutation failure as the objective function, taking into account the steady-state safety constraints;

[0122] The device is used for solving the multi-objective optimization function by adopting the improved particle swarm algorithm with parameter self-adaptability, so as to obtain the optimal reactive power output and reactive power compensation capacity of the generator.

[0123] The specific implementation manner of the above device is the same as the method disclosed in the first embodiment, and will not be repeated here.

Embodiment 3

[0125] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the SVM-PSO-based commutation failure prevention control optimization method in the first embodiment. For the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a commutation failure prevention and control optimization method and system based on SVM-PSO, and the method comprises: taking the minimum reactive control quantity and the minimum number of fault nodes triggering commutation failure as a target function, considering the steady-state safety constraint, and building a multi-target optimization function for optimizing the reactive output and reactive compensation capacity of a generator; and solving the multi-objective optimization function by adopting an improved particle swarm algorithm with parameter adaptability to obtain optimal reactive output and reactive compensation capacity of the generator. The method has the beneficial effects that the support vector machine agent model is constructed to evaluate the commutation result, so that the particle adaptation value is quickly solved.

Description

technical field [0001] The invention relates to the technical field of prevention and control of DC commutation failure, in particular to an optimization method and system for prevention and control of commutation failure based on SVM-PSO. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In order to realize the cross-regional optimal allocation of electric energy, long-distance, high-capacity high-voltage direct current transmission technology has been widely used, and the internal direct current of the alternating current grid is densely packed, which brings risks to the safe and stable operation of the system. The failure of DC commutation due to short-circuit faults in AC systems is a common fault in AC-DC systems. The failure of large-capacity DC commutation will lead to serious faults such as DC blocking, interrupt power transmission, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/50H02J3/16H02J3/36
CPCH02J3/16H02J3/36H02J3/50Y02E40/30Y02E60/60
Inventor 李莉林祺蓉瞿寒冰刘博李常刚刘玉田刘会荣朱元振
Owner STATE GRID SHANDONG ELECTRIC POWER
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