MOPSO-based multi-objective TSO planning considering uncertainties

Qi Wang, Chunyu Zhang, Yi Ding, Jacob Østergaard

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    Abstract

    The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.
    Original languageEnglish
    Title of host publicationProceedings of IEEE PES ISGT Europe 2014:
    Number of pages5
    PublisherIEEE
    Publication date2014
    DOIs
    Publication statusPublished - 2014
    Event2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe - Istanbul Technical University, Istanbul, Turkey
    Duration: 12 Oct 201415 Oct 2014
    Conference number: 5
    https://ieeexplore.ieee.org/xpl/conhome/7001799/proceeding

    Conference

    Conference2014 IEEE PES Innovative Smart Grid Technologies Conference, Europe
    Number5
    LocationIstanbul Technical University
    Country/TerritoryTurkey
    CityIstanbul
    Period12/10/201415/10/2014
    Internet address

    Keywords

    • Multi-objective TSO planning
    • Uncertainties
    • Smart grid
    • Two-phase MOPSO

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