NDLI: GA Coordinated with Practical Fuzzy Rules with Multi Shunt FACTS Devices to Enhance the Optimal Power Flow

Content Provider	IEEE Xplore Digital Library
Author	Mahdad, B. Bouktir, T. Srairi, K.
Copyright Year	2007
Description	Author affiliation: Univ. of Biskra, Biskra (Mahdad, B.)
Abstract	In this paper an hybrid Genetic Algorithm and Fuzzy Logic rules is proposed to minimize the generator fuel cost with multi shunt Flexible AC Transmission Systems (FACTS). The problem is decomposed into the optimal power generation subproblem that is searched by Genetic Algorithm and a simple practical reasoning fuzzy rules subproblem to control the reactive power exchanged with the network. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. A global database generated based in reactive index sensitivity (RIS) as a flexible tool to choose economically the size of the shunt FACTS devices. This proposed approach is implemented with Matlab program with various case studies, and compared with conventional method and genetic algorithm (GA). The results show that the HGF can converge to optimum solution faster than other methods, and obtains the solution with high accuracy.
Starting Page	1648
Ending Page	1653
File Size	410756
Page Count	6
File Format	PDF
ISBN	9781424408122
DOI	10.1109/EURCON.2007.4400405
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load flow Genetic algorithms Flexible AC transmission systems Power generation economics Fuzzy logic AC generators Hybrid power systems Fuels Costs Power generation FACTS Optimal power flow Economic dispatch(ED) genetic algorithm Hybrid method constrained optimization heuristic optimization techniques SVC
Content Type	Text
Resource Type	Article

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