Reactive power optimization method of enterprise distribution network based on genetic algorithm

Abstract

The invention discloses a reactive power optimization method of an enterprise distribution network based on a genetic algorithm, comprising the following steps: (1) building the reactive power optimization model of an enterprise distribution network; (2) determining the final reactive power optimization point to be compensated of the enterprise distribution network; (3) carrying out chromosome coding on the compensation capacitance of a compensation capacitor, the transformation ratio of an adjustable transformer and generator end voltage in the enterprise distribution network, and forming aninitial population; (4) calculating the fitness value of an individual satisfying constraint check in the initial population; (5) according to the fitness value of each individual in the initial population, adaptively crossing and varying to generate new generation of population; (6) if the maximum fitness value of the individual of new generation of population and the maximum fitness value of the individual of the previous generation of population satisfy a relation, carrying out chromosome decoding on the individual with the maximum fitness value in the new generation of population, obtaining the reactive power optimization result of the enterprise distribution network, and outputting; and otherwise, returning to step (4).

Description

technical field [0001] The invention relates to a reactive power optimization method of an enterprise distribution network based on a genetic algorithm, and belongs to the technical field of electric power information. Background technique [0002] The power system involves five links of power generation, power transmission, power transformation, power distribution and power consumption. For a long time, focusing on power generation and light transmission has not worked. Although a complete and mature monitoring and management system has been formed for power generation, power transmission, power transformation and power distribution, insufficient attention has been paid to the power consumption link. As a large energy consumer in my country, industrial enterprises have many problems in three aspects: electricity safety, electricity quality and electricity efficiency. In the context of strengthening energy conservation and emission reduction, the reactive power optimization...

AI Technical Summary

Problems solved by technology

The invention establishes the reactive power optimization model of the enterprise distribution network, uses the sensitivity method and the load power matrix impedance method to determine the reactive power optimization point to be compensated for the enterprise distribution network, and uses the improved genetic algorithm to optimize the reactive power of the enterprise distribution network , to solve the problems of over-concentration of compensation points and multi-objective optimization in the traditional distribution network reactive power optimization problem, so that the application value of the research results is higher

Images