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Rolling Optimization of Wind Power and Pumped Hydro Storage System based on W-IGDT
ID：434 View Protection：ATTENDEE Updated Time：2022-05-21 15:51:46 Hits：307 Poster Presentation

Start Time：Pending（Asia/Shanghai）

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Abstract
Affected by wind speed, wind power(WP) output has strong intermittent and fluctuation. The influence of uncertainty needs to be fully considered in power system dispatching. With the development of electricity power market, joint bidding of pumped hydro storage (PHS) station and renewable energy has become a trend. The PHS has the function of cutting peak, shifting load and promoting the consumption of renewable energy. In this paper, the combination of WP and PHS are allowed for rolling energy bidding in the day-ahead and intraday market. The weighted information gap decision theory (W-IGDT) is used to deal with the uncertainty of WP output. A WP-PHS joint dispatching model based on W-IGDT is proposed. According to the risk preference of decision makers, the risk-averse and risk-seek strategy are formulated. Finally, the results of case study show that the proposed strategy can allocate different scheduling plans according to the decision makers' risk preference, which verifies the effectiveness of the proposed model.
Keywords
wind power; pumped hydro storage; electricity market; W-IGDT
Speaker
MingkangHe

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Important Date

  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

Sponsored By
IEEE Beijing Section
China Electrotechnical Society
Southeast University
Supported By
IEEE Industry Applications Society
IEEE Nanjing Section
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