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Content Provider | IEEE Xplore Digital Library |
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Author | Bagriyanik, F.G. Aygen, Z.E. Bagriyanik, M. |
Copyright Year | 2003 |
Description | Author affiliation: Dept. of Electr. Eng., Istanbul Tech. Univ., Turkey (Bagriyanik, F.G.; Aygen, Z.E.; Bagriyanik, M.) |
Abstract | This paper presents a fuzzy multiobjective optimization and genetic algorithm based method to find optimum power system operating conditions. The objectives and constraints are modeled by fuzzy sets. The problem is formulated as a multiple objective problem subject to operational and electrical constraints. The proposed method uses the genetic algorithms (GA) to solve fuzzy optimization problem. In addition to active power losses, series reactive power losses of power transmission system are also considered as one of multiple-objectives. TCSC (thyristor controlled series capacitor) is considered as a control device together with shunt VAR sources, generators and transformers. Simulation results obtained from test systems demonstrate the effectiveness of the proposed method. |
Sponsorship | IEEE Power Eng. Soc |
File Size | 345150 |
File Format | |
ISBN | 0780379675 |
DOI | 10.1109/PTC.2003.1304713 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-06-23 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Minimization methods Genetic algorithms Optimization methods Power system modeling Propagation losses Reactive power Thyristors Fuzzy systems Fuzzy sets Power transmission |
Content Type | Text |
Resource Type | Article |
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