基于可观测量的同步发电机参数的时域辨识  

Time Domain Parameter Identification of Synchronous Generator Based on Measurable Variables

作　　者：罗建[1] 冯树辉[1] 蔡明[1] 夏远灿 

机构地区：[1]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆市400044 [2]重庆电力公司超高压局,重庆市400039

出　　处：《电力系统自动化》2011年第7期24-27,80,共5页Automation of Electric Power Systems

摘　　要：同步发电机模型中不可观测量的存在使得在辨识电机参数时因需要求解复杂的微分方程组而导致辨识困难。文中提出了一种由发电机出口电压、出口电流、励磁电压以及励磁电流等可观测量表示的同步发电机辨识模型,避免了复杂微分方程组的求解,提高了辨识的稳定性和效率,简化了参数辨识方法。首先分析了参数可辨识性,指出在将稳态方程作为附加条件的情况下,该模型所有参数均是唯一可辨识的;然后,利用稳态和暂态数据,根据最小二乘原理来分步辨识模型参数;最后,利用电力系统综合分析程序(PSASP)进行算例仿真,结果表明所提出的模型正确、可行、有效。Because of immeasurable variables,synchronous generator parameter identification need to solve complex differential equations,which might lead to difficulties in the parameters identification process.This paper presents a new generator model,on which all the variables can be measured.Firstly,the model is a good guarantee of both the precision and the stationarity of the parameter identified.Secondly,because all the variables in the model can be measured,it can be avoided to solve complex differential equations,so that the stability of identification process and the arithmetic speed can be improved and the parameter identification will become simple and convenient.The identifiability of the model parameters is analyzed in detail to conclude that the model parameters are uniquely identifiable when the steady-state equations are used as an additional condition.The model parameters are identified using least squares identified algorithm according to steady-state data and dynamic-state data respectively.The test results with PSASP show that the model presented in this paper is correct,feasible and valid.

关 键 词：同步发电机 参数辨识 时域辨识 最小二乘法 

分 类 号：TM341[电气工程—电机]