A hybrid Planning Method for Transmission Network in a Deregulated Enviroment

Zhao Xu, Zhaoyang Dong, Kit Poulsen

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    Abstract

    The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using a multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open-access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of a deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system, and relevant analyses and discussions have been presented.
    Original languageEnglish
    JournalIEEE Transactions on Power Systems
    Volume21
    Issue number2
    Pages (from-to)925 - 932
    ISSN0885-8950
    DOIs
    Publication statusPublished - 2006

    Keywords

    • Eletricity market
    • multi-objective optimization
    • transmission planning
    • goal programming

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