Comprehensive Congestion Management for Distribution Networks based on Dynamic Tariff, Reconfiguration and Re-profiling Product

Feifan Shen, Shaojun Huang, Qiuwei Wu, Sami Repo, Yan Xu, Jacob Ostergaard

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    Abstract

    This paper proposes a comprehensive scheme for day-ahead congestion management of distribution networks with high penetration of distributed energy resources (DERs). In the proposed scheme, the dynamic tariff (DT), network reconfiguration and re-profiling products are integrated, which combines the advantages of these methods. In addition, the previously proposed DT model is relaxed in order to handle possible infeasibility of the DT problem and set a limit for the DT. With the utilization of the flexibilities from various types of DERs and the advantages of the three congestion management methods, the proposed comprehensive scheme can solve the congestion more effectively and at the same time ensures that the congestion management prices are within an acceptable level. Three case studies were conducted with the modified Roy Billinton Test System (RBTS) to validate the effectiveness and advantages of the proposed comprehensive scheme.

    Original languageEnglish
    Pages (from-to)4795-4805
    JournalIEEE Transactions on Smart Grid
    Volume10
    Issue number5
    Early online dateSept 2018
    DOIs
    Publication statusPublished - Sept 2019
    Publication typeA1 Journal article-refereed

    Keywords

    • Congestion management
    • distributed energy resources (DER)
    • dynamic tariff (DT)
    • Electronic mail
    • Energy resources
    • network reconfiguration (NR)
    • Optimization
    • Planning
    • re-profiling products.
    • Temperature distribution
    • Temperature sensors

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • General Computer Science

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