A Novel Algorithm for Power System Prediction-Based State Estimation

Jeu Min Lin, Shyh Jier Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
Pages747-751
Number of pages5
Publication statusPublished - 2003 Dec 1
Event2003 IEEE Power Engineering Society General Meeting - Toronto, Ont., Canada
Duration: 2003 Jul 132003 Jul 17

Publication series

Name2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
Volume2

Other

Other2003 IEEE Power Engineering Society General Meeting
Country/TerritoryCanada
CityToronto, Ont.
Period03-07-1303-07-17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • General Engineering

Fingerprint

Dive into the research topics of 'A Novel Algorithm for Power System Prediction-Based State Estimation'. Together they form a unique fingerprint.

Cite this