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    An Optimal Transmission Congestion Management in Open Power Markets

    Access Status
    Fulltext not available
    Authors
    Habavi, S.
    Masoum, Mohammad Sherkat
    Kazemi, A.
    Date
    2010
    Type
    Journal Article
    
    Metadata
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    Citation
    Habavi, S. and Masoum, M.S. and Kazemi, A. 2010. An Optimal Transmission Congestion Management in Open Power Markets. International Review of Automatic Control. 3 (4): pp. 424-431.
    Source Title
    International Review of Automatic Control
    Additional URLs
    http://www.praiseworthyprize.com/IREACO-latest/IREACO_vol_3_n_4.html
    ISSN
    19746067
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/18080
    Collection
    • Curtin Research Publications
    Abstract

    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 are presented and compared for 3-bus and 5-bus test systems.

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