Distributionally Robust Co-Optimization of Energy and Reserve Dispatch of Integrated Electricity and Heat System

Mikhail Skalyga, Quiwei Wu

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    Abstract

    The combined operation of integrated energy systems is increasingly becoming a crucial topic for renewable energy dominated power systems operation. Flexibility from the district heating system could be used to deal with the uncertainty of renewable energy sources. We formulate a distributionally robust optimization problem for co-optimizing energy and reserve dispatch of the integrated electricity and heating system with a moment-based ambiguity set. The reserve allocation has been modeled through the participation vectors of the controllable generation units. The total reserve capacity has been defined implicitly and is a function of the uncertainty. The proposed model has been transformed into a second-order cone programming (SOCP) optimization problem by applying convex relaxation and linearization of the district heating network equations. Case studies on the integrated six-bus and seven-node system to demonstrate the efficacy of the proposed model.
    Original languageEnglish
    Title of host publicationProceedings of 2020 International Conference on Probabilistic Methods Applied to Power Systems
    PublisherIEEE
    Publication date2020
    Pages1-6
    ISBN (Print)978-1-7281-2823-8
    DOIs
    Publication statusPublished - 2020
    Event2020 International Conference on Probabilistic Methods Applied to Power Systems - Liege, Belgium
    Duration: 18 Aug 202021 Aug 2020

    Conference

    Conference2020 International Conference on Probabilistic Methods Applied to Power Systems
    Country/TerritoryBelgium
    CityLiege
    Period18/08/202021/08/2020

    Keywords

    • Integrated energy systems
    • District heating
    • Distributionally robust optimization
    • Energy and reserve dispatch
    • Convex relaxation
    • Second-order cone programming

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