Multi-agent restoration process based on distributed optimization search

M. Zaki El-Sharafy, H. E. Farag

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper proposes a new multiagent control algorithm for automatic back-feed service restoration in smart distribution grids. The aim of the proposed algorithm is to obtain the advantages of both centralized and distributed control schemes by installing a less acceptable number of installed agents. The objective of these agents is to minimize the unserved loads and the total number of switching operations, taking into consideration the load variability. The proposed algorithm adopts the Optimal Asynchronous Partial Overlay (OPTAPO) technique, which is based on the distributed constraint agent search in order to obtain the back-feed restoration process in a multi-agent environment. Case studies are simulated to evaluate the effectiveness of the proposed algorithm.

    Original languageBritish English
    Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
    PublisherIEEE Computer Society
    Pages1-5
    Number of pages5
    ISBN (Electronic)9781538622124
    DOIs
    StatePublished - 29 Jan 2018
    Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
    Duration: 16 Jul 201720 Jul 2017

    Publication series

    NameIEEE Power and Energy Society General Meeting
    Volume2018-January
    ISSN (Print)1944-9925
    ISSN (Electronic)1944-9933

    Conference

    Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
    Country/TerritoryUnited States
    CityChicago
    Period16/07/1720/07/17

    Keywords

    • Distributed constraint optimization
    • Distributed generation (DG)
    • Self-healing restoration
    • Smart distribution grids
    • Variable Loads

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