Congestion Management using Genetic Algorithm in Deregulated Power Environments
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Authors
Nabavi, S.
Kazemi, A.
Masoum, Mohammad Sherkat
Date
2011Collection
Type
Journal Article
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Show full item recordAbstract
Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software is presented and compared for the IEEE 30-bus test system.
Citation
Nabavi, S. and Kazemi, A. and Masoum, M. 2011. Congestion Management using Genetic Algorithm in Deregulated Power Environments. International Journal of Computer Applications. 18 (2): pp. 19-23.
Source Title
International Journal of Computer Applications
Additional URLs
Department
Department of Electrical and Computer Engineering
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