摘要
状态估计是现代EMS的重要组成部分,特别是动态状态估计,能实现实时运行状态的估计和预报功能。通过对动态估计算法Kalman滤波算法和国内外学者的一些改进算法的现状研究,分析了这些算法目前存在的主要问题。并基于此提出了Kalman滤波算法的新的改进措施,研究了方向和发展趋势。
State estimation, especially dynamic state estimation (DSE), which is one of the most important parts of the energy management system (EMS), can forecast the state vector one step ahead. This paper studies the Kalman algorithm of the DSE and some improved models presented by domestic and foreign scholars, then analyzes the main drawbacks of these algorithms in present applications of power system, finally proposes its new improvements and developments in future.
出处
《继电器》
CSCD
北大核心
2004年第20期62-66,共5页
Relay