A Multi-objective Model for Transmission Planning Under Uncertainties

Chunyu Zhang, Qi Wang, Yi Ding, Jacob Østergaard

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The significant growth of distributed energy resources (DERs) associated with smart grid technologies has prompted excessive uncertainties in the transmission system. The most representative is the novel notation of commercial aggregator who has lighted a bright way for DERs to participate power trading and regulating in transmission level. In this paper, the aggregator caused uncertainty is analyzed first considering DERs’ correlation. During the transmission planning, a scenario-based multi-objective transmission planning (MOTP) framework is proposed to simultaneously optimize two objectives, i.e. the cost of power purchase and network expansion, and the revenue of power delivery. A two-phase multi-objective PSO (MOPSO) algorithm is employed to be the solver. The feasibility of the proposed multi-objective planning approach has been verified by the 77-bus system linked with 38-bus distribution network junctions.
    Original languageEnglish
    Title of host publicationProceedings of IEEE EPEC 2014
    Number of pages6
    PublisherIEEE
    Publication date2014
    Publication statusPublished - 2014
    Event2014 IEEE Electrical Power and Energy Conference - Calgary, Canada
    Duration: 12 Nov 201414 Nov 2014
    https://ieeexplore.ieee.org/xpl/conhome/7051396/proceeding

    Conference

    Conference2014 IEEE Electrical Power and Energy Conference
    Country/TerritoryCanada
    CityCalgary
    Period12/11/201414/11/2014
    Internet address

    Keywords

    • Uncertainties
    • Distributed Energy Resources
    • Demand response
    • Multi-objective transmission planning

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