Artificial bee colony algorithm-based steady-state performance evaluation method for self-excited generator

Abstract

The invention relates to an artificial bee colony algorithm-based steady-state performance evaluation method for a self-excited generator. The method comprises the following steps of (S1) building a single-phase equivalent circuit model for the self-excited generator; (S2) carrying out optimization control on impedance, excitation impedance and a rotating speed of the self-excited generator by using an artificial bee colony algorithm; (S3) calculating stator current, terminal voltage and load current for analyzing a steady-state model of a self-excited induction generator; and (S4) obtaining excitation reactance, frequency and voltage by using a numerical calculation method, comparing the result obtained by using the numerical calculation method with an optimization result obtained by using the artificial bee colony algorithm and verifying the effectiveness of the artificial bee colony algorithm. According to the artificial bee colony algorithm-based steady-state performance evaluationmethod for the self-excited generator, the steady-state characteristic of the self-excited induction generator is researched by using the artificial bee colony algorithm, special requirements for aninitial solution in the numerical calculation method are avoided, a real part of an admittance does not need to be separated from an imaginary part, the calculation process is simplified and the calculation result is more accurate and reasonable.

Description

technical field [0001] The invention belongs to the field of generator performance evaluation and design, and in particular relates to a self-excited generator steady-state performance evaluation method based on an artificial bee colony algorithm. Background technique [0002] With the exhaustion of petroleum fuel resources, new energy sources such as wind energy, nuclear energy, and solar energy have gradually entered people's field of vision. At the same time, because the induction motor has the characteristics of simple maintenance, brushless asynchronous control, low cost, etc., it can be widely used in wind energy conversion systems. The excitation unit of the induction motor does not need an external DC power supply, and only needs the excitation current to supply power to the excitation system and external circuits. When the induction generator is connected to the power system, it obtains reactive power from the grid, but for a generator running independently, it mai...

AI Technical Summary

Problems solved by technology

Genetic algorithm is an optimization algorithm that can search globally. Genetic algorithm studies the steady state of synchronous generators. However, due to the problem of too large global search range, the optimization results are not very accurate.

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