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Short Term Electricity Procurement of Large Consumers Considering Tidal Power and Electricity Price Uncertainties

Arsalan Najafi, Sanaz Salari, Moosa Marzband, Ameena Saad Al-Sumaiti, Edris Pouresmaeil

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Citations (Scopus)

    Abstract

    Seeking an economical way is the main goal of consumers in order to procure their electricity in a competitive electricity market. To achieve this goal, consumers participate in a day ahead or a real time electricity market along with delivering the output power of their distributed generation (DG) resources. Hence, this paper proposes a new model to procure the electricity of large consumers considering the prices uncertainties and the tidal power generators. In the proposed model, uncertainties are taken into account using a two stage stochastic programming method. The conditional value at risk (CVaR) as a risk index is utilized for decreasing the undesirable effects of uncertainties. The quality of the proposed approach is examined by doing simulations on a test case based upon the semi-real data.

    Original languageEnglish
    Title of host publicationProceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018
    PublisherIEEE
    ISBN (Electronic)9781538629109
    DOIs
    Publication statusPublished - 13 Dec 2018
    Event53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom
    Duration: 4 Sept 2018 → 7 Sept 2018

    Conference

    Conference53rd International Universities Power Engineering Conference, UPEC 2018
    Country/TerritoryUnited Kingdom
    CityGlasgow
    Period4/09/18 → 7/09/18

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • CVaR
    • large consumers
    • stochastic programming
    • tidal power

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