BPF法与PSO算法在励磁系统参数辨识中的应用  

Time Domain Parameters Identification of Generator Excitation System Based on WAMS

作　　者：赵菲[1] 王铁强[2] 贾京华[2] 焦彦军[1] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]河北省电力公司,河北石家庄050021

出　　处：《电力科学与工程》2011年第11期39-42,共4页Electric Power Science and Engineering

摘　　要：励磁系统参数辨识是电力系统四大参数辨识之一,其准确性对电力系统运行控制和仿真有着重要的作用。阐述了用于励磁系统参数辨识的BPF法和进化算法中的PSO算法,将两者相结合应用在励磁系统参数辨识中,并详细地给出了辨识的具体方法和过程。在MATLAB下构造待辨识的励磁系统模型,并进行数字仿真实验,辨识结果验证了该方案的正确性和有效性。The excitation system parameter identification is important to the power system operation and control as well as simulation, and is one of the four vital parameters in power system. In this paper, BPF and PSO is introduced and is applied to parameters identification of excitation system. The specific method and process of identification method are put forward in detail. An excitation system model is built in Matlab, the test results show that the method in the paper is correct and valid.

关 键 词：励磁系统 参数辨识 BPF PSO 

分 类 号：TM761[电气工程—电力系统及自动化]