基于粒子群游算法的同步发电机参数辨识

Parameters Identification of Synchronous Generator Based on Particle Swarm Optimization Theory

将一种新的进化算法———粒子群游应用于发电机参数辨识。根据粒子群游算法的特点 ,提出了一种同步发电机参数辨识的计算框架。算例表明 ,这种参数辨识算法无需提取电机数学模型 ,直接利用稳定计算程序 ,简单实用、具有可行性。

The paper apply a evolutionary algorithm———Particle Swarm Optimization(PSO)on large synchronous generator parameter identification.Based on the characters of the PSO,a framework for the parameter estimation of synchronous generators is presented.The result of a case shows that the electrical parameters and mechanical parameters can be obtained by power system stability analysis software directˉly,without constructing the generator model.