电力系统多台发电机参数的整体辨识  

System Wide Parameter Identification of Multi-generators in Power Systems

作　　者：郭磊[1] 鞠平[1] 王红印[2] 赵浚婧[1] 

机构地区：[1]河海大学能源与电气学院,江苏省南京市210098 [2]河南省电力公司,河南省郑州市450052

出　　处：《电力系统自动化》2011年第17期44-50,共7页Automation of Electric Power Systems

基　　金：国家杰出青年科学基金资助项目(50725723);江苏省普通高校研究生科研创新计划资助项目(CX10B_204Z)~~

摘　　要：提出对多台发电机参数进行整体辨识的思路,即根据广域测量系统(WAMS)采集到的发电机的功角轨迹,同时辨识多台发电机的参数。文中针对不同阶次的Park模型,采用基于轨迹灵敏度的可辨识性分析方法,研究了多台发电机参数的可辨识性,结果表明大部分参数能够区分辨识而一部分参数不能够区分辨识。提出了多台发电机参数的辨识策略,以及基于蚁群算法的多台发电机参数辨识方法和实现流程。通过算例,验证了同时辨识多台发电机参数的可能性。A system-wide identification methodology for multi-generators in power systems is proposed,i.e.to identify the parameters of multi-generators simultaneously with the rotor angle data from wide area measurement system（WAMS）.The parameter identifiability of different Park models is analyzed by using the trajectory sensitivity method,and the results indicate that most of the parameters are identifiable but some of the parameters are not identifiable.The strategy is developed for the simultaneously identification of multi-generators,i.e.classification of generators,identification of parameters under both steady and dynamic states,identification of the key parameters and emphasis on system wide characteristics.An ant colony optimal algorithm based method is proposed for the parameter identification,and the procedure for implementation is given.The simulation example validates the feasibility of simultaneously identifying the parameters of multi-generators.

关 键 词：电力系统 同步发电机 参数辨识 轨迹灵敏度 蚁群算法 

分 类 号：TM31[电气工程—电机]