TY - GEN
T1 - A Novel Algorithm for Power System Prediction-Based State Estimation
AU - Lin, Jeu Min
AU - Huang, Shyh Jier
PY - 2003/12/1
Y1 - 2003/12/1
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:1542359618
SN - 0780379896
T3 - 2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
SP - 747
EP - 751
BT - 2003 IEEE Power Engineering Society General Meeting, Conference Proceedings
T2 - 2003 IEEE Power Engineering Society General Meeting
Y2 - 13 July 2003 through 17 July 2003
ER -