含新能源电力系统状态估计研究现状和展望  

Status and prospect of state estimation for power system containing renewable energy

作　　者：赵俊博[1] 张葛祥[1] 黄彦全[1] 

机构地区：[1]西南交通大学电气工程学院,四川成都610031

出　　处：《电力自动化设备》2014年第5期7-20,34,共15页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(61170016;61373047);教育部新世纪优秀人才支持计划研究项目(NCET-11-0715)及配套项目(SWJTU12CX008);中央高校基本科研业务费专项资金资助项目(SWJTU11ZT07)~~

摘　　要：随着新能源的并网,需要考虑新类型电源的特性对电力系统状态估计器进行进一步研究。综述了系统拓扑结构处理、系统可观测性方法;对新能源并网模型进行了详细分类和概述;按照新能源并网方式对含新能源电力系统状态估计方法进行分类和详细分析;在对传统不良数据检测和辨识研究现状进行总结的基础上,分析了新能源并网后不良数据检测与辨识所面临的困难,同时给出了可能的解决方法。最后对新能源并网建模、含新能源电力系统状态估计算法、含新能源不良数据检测与辨识中值得研究的方向进行了展望。As the renewable energy sources are integrated into power system,their characteristics should be considered in the further research of power system state estimator. The processing of system topology and the methods of system observability are reviewed. The grid-connection models of renewable energy sources are classified and introduced while the state estimation methods of power system containing renewable energy sources are classified and introduced according to the grid-connection modes of renewable energy sources. The research status of traditional bad data identification is summarized,based on which,the problems existing in the bad data identification of power system containing renewable energy sources are analyzed and the possible solutions are proposed. The research directions concerning the modeling of power system containing renewable energy sources ,its state estimation algorithms and its bad data identification are prospected.

关 键 词：电力系统 新能源 并网 模型 状态估计 可观测性分析 不良数据辨识 

分 类 号：TM73[电气工程—电力系统及自动化] TM744