DocumentCode :
2220594
Title :
Fuzzy logic based contingency analysis
Author :
Lo, K.L. ; Abdelaal, A.K.I.
Author_Institution :
Power Syst. Res. Group, Strathclyde Univ., Glasgow, UK
fYear :
2000
fDate :
2000
Firstpage :
499
Lastpage :
504
Abstract :
This paper deals with the contingency selection problem in power systems. The main objective is to explore the application of fuzzy logic on contingency selection for voltage ranking. It shows how fuzzy logic could be used to tune both the weighting factors and the exponent index and hence reduce the masking effect. Firstly, the post-contingent voltages are expressed in fuzzy logic. Secondly, fuzzy logic rules are applied to rank the contingencies. There are two types of fuzzy control rules: Mamdani- and Sougeno-rules. The first part of this paper investigates the use of the Mamdani method for voltage ranking. The second part examines the application of Sougeno method to voltage ranking. Numerical results for the IEEE-30 bus test system are given. At the end of this paper there is a comparison study between these methods. It is found that the Sougeno method is much more flexible, suitable, and gives better results than the Mamdani method
Keywords :
fuzzy logic; power system analysis computing; power system security; IEEE-30 bus test system; Mamdani rules; Sougeno rules; computer simulation; exponent index; fuzzy-logic based contingency analysis; masking effect; post-contingent voltages; power systems contingency selection problem; voltage ranking; weighting factors; Fuzzy control; Fuzzy logic; Load flow; Performance analysis; Performance evaluation; Power system analysis computing; Power system security; Reactive power; System testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
Conference_Location :
London
Print_ISBN :
0-7803-5902-X
Type :
conf
DOI :
10.1109/DRPT.2000.855715
Filename :
855715
Link To Document :
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