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Risk-constrained day-ahead scheduling for gravity energy storage system and wind turbine based on IGDT

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  • Wu, Xiong
  • Li, Nailiang
  • He, Mingkang
  • Wang, Xiuli
  • Ma, Song
  • Cao, Jingjing

Abstract

To cope with the risk from the uncertain power output of wind turbines (WTs), energy storage system (ESS) is employed to coordinate with WTs as a combined agent to participate in power market. Due to the limitation of conventional ESSs, gravity energy storage (GES) is invented and developed recently. This paper establishes a day-ahead scheduling model for an economic and environment-friendly GES and WTs. The studied GES is charged when bricks are lifted up by cranes and discharged when bricks fall down to drive generators. Information-gap decision theory (IGDT) is employed to attain the profit against uncertainties from market price and wind power, and a risk-constrained IGDT-based day-ahead scheduling model of the GES and WT is proposed. According to the risk preference of the decision maker, a robustness model for the risk-averse strategy and an opportunity model for the risk-seek strategy are proposed to obtain the minimum and windfall profits, respectively. Finally, the effectiveness of the IGDT-based model is verified by numerical simulations. Simulation results indicate that the expectation of decision makers with a risk-averse or risk-seek strategy could be satisfied by the proposed model. Additionally, the market price has a vital impact on achieving a windfall profit.

Suggested Citation

  • Wu, Xiong & Li, Nailiang & He, Mingkang & Wang, Xiuli & Ma, Song & Cao, Jingjing, 2022. "Risk-constrained day-ahead scheduling for gravity energy storage system and wind turbine based on IGDT," Renewable Energy, Elsevier, vol. 185(C), pages 904-915.
    • Handle: RePEc:eee:renene:v:185:y:2022:i:c:p:904-915
    DOI: 10.1016/j.renene.2021.12.111
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    References listed on IDEAS

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    Cited by:

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    2. Li, Bingkang & Zhao, Huiru & Wang, Xuejie & Zhao, Yihang & Zhang, Yuanyuan & Lu, Hao & Wang, Yuwei, 2022. "Distributionally robust offering strategy of the aggregator integrating renewable energy generator and energy storage considering uncertainty and connections between the mid-to-long-term and spot elec," Renewable Energy, Elsevier, vol. 201(P1), pages 400-417.

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