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    Security constrained augmentation for transmission system considering preferences of market players on expansion options

    136215_18962_55574.pdf (968.2Kb)
    Access Status
    Open access
    Authors
    Hesamzadeh, M.
    Hosseinzadeh, N.
    Wolfs, Peter
    Date
    2007
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hesamzadeh, M. and Hosseinzadeh, N. and Wolfs, Peter. 2007. Security constrained augmentation for transmission system considering preferences of market players on expansion options, in Islam, S. (ed), Power Engineering Conference, AUPEC Australasian Universities, Dec 10 2007. Perth WA: Curtin University.
    Source Title
    Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities
    Source Conference
    Power Engineering Conference, AUPEC Australasian Universities
    ISBN
    978-0-646-49488-3
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    Remarks

    Australasian Universities Power Engineering Conference 2007.

    URI
    http://hdl.handle.net/20.500.11937/6700
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a new approach for transmission expansion planning in unbundled electricity industry. The approach considers the power market and technical criteria for selecting the most effective expansion options. Perfect competition, a stable electricity market, and a lower price of electricity at different market players' locations have been addressed in the proposed methodology. Reliability criteria have been considered in terms of transmission system security and sustainable load serving. To consider the preferences of market players for different expansion options, firstly, importance degree of market players are determined based on a digitised band. Then a fuzzy linguistic variable is assigned to the preference of each market player to the transmission options. Finally, the quantified linguistic variables are used to weight planning criteria and select the final plan. The results of applying the proposed methodology to the introduced case study are very promising.

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