基于遗传算法的水轮发电机组调速系统参数辨识

Parameters identification for hydraulic turbine governing systems based on genetic algorithm

将遗传算法思想引入水轮发电机组调速系统的辨识工作中,解决了目前电力系统中常用的辨识方法无法对非线性环节进行有效辨识的问题;为提高辨识效率,对遗传算法初始群体的选取方法以及子代选择方法进行了改进。对实际发电机组调速系统的辨识结果说明该方法具有快速、精度较高等优点。该思想为水轮发电机组调速系统的辨识提供了一种新方法,具有重要的工程实用价值。

This paper introduces the idea of GA in the parameter identification of hydraulic turbine governing system and solves the problem that traditional identification methods such as frequency-domain methods and time-domain methods cannot validly identify the parameters of nonlinear systems. To raise the efficiency of identification, this paper improves the methods of selections of the initial colony and filial generation. The identification results of real governing system demonstrate that such parameter identification methods with GA have the advantages of fast computation and high parameter identification precision. And the conclusion is that the idea of GA provides a new way for parameter identification of hydraulic turbine governing system which has magnitude value for engineering application.