A Review of Power System Dynamic State Estimation Techniques

被引:0
|
作者
Shivakumar, N. R. [1 ]
Jain, Amit [1 ]
机构
[1] IIIT, Power Syst Res Ctr, Hyderabad, Andhra Pradesh, India
来源
2008 JOINT INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) AND IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2 | 2008年
关键词
dynamic state estimation; kalman filter; real time monitoring; square root filter; static state estimation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
State estimation is a key Energy Management System (EMS) function, responsible for estimating the state of the power system. Power system is a quasi-static system and hence changes slowly with time. Since state estimation is computationally expensive, it is not easy to execute it repetitively at short intervals to achieve real time monitoring of such a changing system. Dynamic State Estimation (DSE) techniques model the time varying nature of the system, which allows it to predict the state vector in advance. This proves to be a major advantage for the operator in performing security analysis and other control center functions. Various techniques for dynamic state estimation are available in the literature. This paper presents a bird's eye view on different methodologies and developments in DSE, based on our comprehensive survey of the available literature.
引用
收藏
页码:502 / 507
页数:6
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