A Novel Algorithm for Power System Prediction-Based State Estimation

Jeu Min Lin, Shyh Jier Huang

研究成果: Conference contribution

摘要

In this paper, an algorithm based on the usage of the exponential function along with the sliding surface-enhanced fuzzy control is proposed to solve prediction-based state estimation in power systems. In the proposed method, the merit of exponential function lies in its immunity to the cases of bad measurement and network configuration error, while that of the fuzzy control is its adaptive capability of preventing from the false estimation under abrupt load variation conditions. This proposed method has been applied to the IEEE 30-bus test system. Test results help support the feasibility of the method for state estimation applications.

原文English
主出版物標題2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
頁面747-751
頁數5
出版狀態Published - 2003 十二月 1
事件2003 IEEE Power Engineering Society General Meeting - Toronto, Ont., Canada
持續時間: 2003 七月 132003 七月 17

出版系列

名字2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
2

Other

Other2003 IEEE Power Engineering Society General Meeting
國家Canada
城市Toronto, Ont.
期間03-07-1303-07-17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Engineering(all)

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