Improved crisscross optimization algorithm-based multi-objective reactive power optimization method and system

A technology of crossover algorithm and optimization method, which is applied in the field of multi-objective reactive power optimization methods and systems, and can solve problems such as inability to meet requirements.

Inactive Publication Date: 2017-02-15
GUANGDONG UNIV OF TECH
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Problems solved by technology

In power system operation, reactive power optimization is an important optimization problem. The reactive power optimization of traditional power systems mainly considers the reduction of active network losses dur

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  • Improved crisscross optimization algorithm-based multi-objective reactive power optimization method and system
  • Improved crisscross optimization algorithm-based multi-objective reactive power optimization method and system
  • Improved crisscross optimization algorithm-based multi-objective reactive power optimization method and system

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Embodiment Construction

[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0086] The present invention proposes a method for solving the problem of multi-objective reactive power optimization: improving the vertical and horizontal intersection algorithm. The basic crossover algorithm includes vertical crossover and horizontal crossover, competition operator. The basic operation process of the algorithm is as follows: parent particles are introduced into competition operators after vertical crossing (horizontal crossing), and the populati...

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Abstract

The present invention discloses an improved crisscross optimization algorithm-based multi-objective reactive power optimization method and system. The method comprises the steps of calculating target values of each particle in an initial population, wherein the target values at least comprise target values of an active power network loss, a voltage offset and a voltage stability margin; performing horizontal cross and vertical cross on the initial population so as to generate sub-generation W and sub-generation R; screening the sub-generation R to obtain an excellent particle population; and combining the initial population, the sub-generation W and the excellent particle population so as to generate a population pool, selecting a new generation of population by using non-dominated sorting and crowding distance, and outputting a final result when an iteration number of times is greater than a preset threshold. In the method, the active power network loss, voltage offset and voltage stability margin are all considered in reactive power optimization of the system, and the system is optimized by using the improved crisscross optimization algorithm, so that multi-objective reaction power optimization is realized, and the algorithm is less likely to optimize locally.

Description

technical field [0001] The present invention relates to the field of electric power systems, and more specifically, relates to a multi-objective reactive power optimization method and system based on an improved crossover algorithm. Background technique [0002] With the continuous expansion of the power system scale and the higher and higher requirements for system operation stability and economy, how to reduce network loss and improve voltage stability by optimizing the power system has attracted more and more attention from the industry. In power system operation, reactive power optimization is an important optimization problem. The reactive power optimization of traditional power systems mainly considers the reduction of active network losses during the power system optimization process. However, with the continuous development of power systems, only active network losses are considered. The reactive power optimization is obviously not able to meet the requirements. [...

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Application Information

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IPC IPC(8): H02J3/18H02J3/48H02J3/50G06N3/12
CPCY02E40/30H02J3/18G06N3/126H02J3/48H02J3/50
Inventor 黄海涛殷豪
Owner GUANGDONG UNIV OF TECH
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