Co-optimizing ancillary raise and lower services

Pramesh Chand, Ly Fie Sugianto

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

    Abstract

    This paper describes an innovative approach of cooptimizing the energy and ancillary raise and lower services markets in the Australian National Electricity Market. A heuristic based technique called Horizon Scan [1], [2] is applied as the optimization procedure to find optimal solution for the problem. Horizon Scan is a heuristic based technique to search for optimal solution in a non-linear solution space. The paper is an extension to work that has been originally presented [3] and [7]. It includes a case study depicting simplified two region market model. Optimal schedules resulting in economical dispatch costs are obtained when Horizon Scan is applied to optimize trading between multi-regions with inter-connectors. Linear and non- linear constraint equations are also included in the model to take into account dynamics of the power system.

    Original languageEnglish
    Title of host publicationTencon 2005 - 2005 IEEE Region 10
    EditorsH Bradlow
    Place of PublicationMelbourne Vic Australia
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages5
    ISBN (Print)0780393112, 9780780393110
    DOIs
    Publication statusPublished - 2005
    EventIEEE Tencon (IEEE Region 10 Conference) 2005 - Crown Promenade Hotel, Melbourne, Australia
    Duration: 21 Nov 200524 Nov 2005
    https://ieeexplore.ieee.org/xpl/conhome/4084859/proceeding (Proceedings)

    Publication series

    NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
    Volume2007
    ISSN (Print)2159-3442
    ISSN (Electronic)2159-3450

    Conference

    ConferenceIEEE Tencon (IEEE Region 10 Conference) 2005
    Abbreviated titleTENCON 2005
    CountryAustralia
    CityMelbourne
    Period21/11/0524/11/05
    Internet address

    Keywords

    • Cost optimal control
    • Management information systems
    • Modeling
    • Power generation dispatch
    • Power system economics
    • Programming

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