Uncertainty mitigation in feeder level power loss reduction with distributed generation

Arun Kaarthick Manoharan, Anton Hettiarachchige-Don, Visvakumar Aravinthan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.

    Original languageEnglish
    Title of host publication2019 IEEE Green Technologies Conference, GreenTech 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages4
    ISBN (Electronic)9781728114576
    ISBN (Print)9781728114583
    DOIs
    Publication statusPublished - 22 Jul 2019
    Event2019 IEEE Green Technologies Conference, GreenTech 2019 - Lafayette, United States
    Duration: 3 Apr 20196 Apr 2019

    Publication series

    NameIEEE Green Technologies Conference
    PublisherIEEE
    ISSN (Print)2166-546X
    ISSN (Electronic)2166-5478

    Conference

    Conference2019 IEEE Green Technologies Conference, GreenTech 2019
    Country/TerritoryUnited States
    CityLafayette
    Period3/04/196/04/19

    Keywords

    • Distribution Generation
    • fuzzy optimization
    • power loss reduction
    • Smart Grid
    • Uncertainty

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