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Optimal dispatch and cost allocation model for combined peak shaving of source-load-storage under high percentage penetration of renewable energy

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  • Li, Xiangguang
  • Du, Yida
  • Tan, Zhongfu
  • Xing, Da
  • Tan, Caixia

Abstract

This paper presents an optimal dispatch and cost allocation model for combined peak shaving of source-load-storage. The aim is to address the challenge of peak shaving caused by the high proportion of renewable energy penetration. To address the uncertainty and correlation of wind turbine and photovoltaic output, a scenario analysis approach informed by Copula theory is first presented for the combined wind turbine and photovoltaic power generation. Secondly, a deep peak shaving pricing strategy based on fuzzy analytic hierarchy process is developed by considering demand relationships, policy incentives, and competition. Afterward, a source-load-storage joint peak shaving optimization dispatch model taking incentive demand response and pricing strategy into account is constructed. Lastly, an empirical study using a real new power system in a Northwest Chinese region is conducted, and the findings indicate that 1) the system's paid peak shaving cost under the joint source-load-storage peak shaving scenario is 1432.46 ten thousand yuan, the renewable energy utilization rate reaches 98.45 %; 2) The proportion of the paid peak shaving cost allocated by wind turbine, photovoltaic, resident load, and industrial and commercial load informed by the nucleolus method is 12.05 %, 28.60 %, 25.75 %, and 33.60 % respectively. This confirms the efficacy and scientific validity of the suggested peak shaving cost allocation scheme.

Suggested Citation

  • Li, Xiangguang & Du, Yida & Tan, Zhongfu & Xing, Da & Tan, Caixia, 2025. "Optimal dispatch and cost allocation model for combined peak shaving of source-load-storage under high percentage penetration of renewable energy," Renewable Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:renene:v:255:y:2025:i:c:s0960148125015095
    DOI: 10.1016/j.renene.2025.123845
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    References listed on IDEAS

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    1. Guo, Qisheng & Wu, Xi & Cai, Hui & Cheng, Liang & Huang, Junhui & Liu, Yichen & Chen, Kangwen, 2024. "Multi-power sources joint optimal scheduling model considering nuclear power peak regulation," Energy, Elsevier, vol. 293(C).
    2. Badesa, Luis & Matamala, Carlos & Strbac, Goran, 2025. "Who should pay for frequency-containment ancillary services? Making responsible units bear the cost to shape investment in generation and loads," Energy Policy, Elsevier, vol. 196(C).
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