基于六阶模型的同步发电机参数辨识方法比较

Comparison of Identification Methods for Synchronous Generator Based on Six-Order Model

摘要: 为使相量测量装置(PMU)的实测数据更加准确地对同步发电机的运行状态进行监测，有必要对同步发电机的参数进行实时辨识。本文把传统同步发电机六阶模型改写为矩阵形式，分别采用励磁电流与励磁电压作为控制变量，比较两种控制策略的异同，通过仿真实例分析发现两种模型的辨识结果基本一致。在优化算法上，考虑到Matlab处理矩阵的优越性，笔者采用矩阵形式的直接搜索算法与粒子群优化算法对参数进行辨识，并比较了两种优化方法的优劣性。

Abstract: To make use of the PMU measured data more accurately for synchronous generator running state real-time monitoring, it is necessary to identify the parameters of synchronous generator in real time. Based on the salient-pole synchronous generator, its six-order parameter model is derived, which is transformed into a matrix form. Through the example simulation analysis, the excitation current and excitation voltage as control variables show that the two kinds of model identification results are basically the same. Considering the superiority of Matlab, the author uses the direct search algorithm in parameter identification and PSO to identify parameters and compare the ad-vantage and disadvantages of the two optimization methods.