Reactive optimization method and system of power system

Abstract

The invention provides a reactive optimization method and system of a power system. The method comprises the steps: inputting power grid information data and relevant algorithm parameters, acquiring the voltage at a power generator end, a compensation capacitance value of a reactive compensation device and a transformation ratio of a transformer branch to form a control variable, generating an initial population, substituting each vector in the initial population into a Newton-Raphson method to calculate the reactive power of a voltage power generator node of each node in a load flow manner, calculating a fitness value, carrying out the mutation operation, carrying out the interlace operation of a covariance matrix learning mechanism, carrying out the selection operation, calculating each test vector fitness value, if the test vector fitness value is smaller than a target vector fitness value, reserving the test vector, entering a next generation of population, keeping a corresponding zoom factor and an interlace control parameter unchanged, entering the next generation, otherwise, allowing the target vector to directly enter the next generation, and generating a next generation of zoom factor and interlace control parameter according to a dual-peak distribution parameter; and when a maximum iteration times is achieved, outputting a final optimization result.

Description

technical field [0001] The invention belongs to the technical field of reactive power control of electric power systems, and in particular relates to a reactive power optimization method and system of electric power systems. Background technique [0002] The reactive power optimization of the power system is based on the premise of satisfying various system operating constraints. Through various reactive power control methods such as generator automatic voltage regulator (AVR), on-load transformer tap and reactive power compensation device, etc., the reduction of network power is realized. Loss, improve voltage distribution, improve voltage stability and other goals. [0003] Power system reactive power optimization is a nonlinear mixed integer programming problem with multi-variables, multi-constraints and coexistence of discrete and continuous variables. At present, the solution methods of this problem can be divided into two categories, namely mathematical solution metho...

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Problems solved by technology

[0005] Therefore, designing a reasonable method to solve the problem of poor effect of differential evolution algorithm in dealing with variable-related problems and difficult setting of its control parameters, and improving the accuracy, speed and stability of solving reactive power optimization problems in power systems are crucial to improving the level of reactive power control in power systems. , it has important theoretical and practical value to improve the economic dispatching ability of power system

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