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The Generation Load Aggregator Participates in the Electricity Purchase and Sale Strategy of the Electric Energy–Peak Shaving Market

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  • Haonan Zhang

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Youwen Tian

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Wei He

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Zhining Liang

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

  • Zihao Zhang

    (Huaneng Thermal Power Co., Ltd., Dalian 116033, China)

  • Nannan Zhang

    (School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)

Abstract

To facilitate the participation of small- and medium-sized customer-side resources into the electricity market, with the aim of optimizing the allocation of electricity resources, this paper proposes the participation of small- and medium-sized adjustable resources in the electricity market in the form of generation load aggregators. Considering the coupling role of the electric energy market and the peaking auxiliary service market, a joint model of generation load aggregators that participate in the electric energy–peak shaving market is constructed. Comparing the model solution with those of the control group, the peak-to-valley difference of 10.5 MW is much lower than that of the control group, which is 16.54 MW. Compared with the control group, the profit was increased by USD 2.6 thousand, or 6.06%. It can be seen that the model proposed in this paper can reduce the peak and valley pressure as well as the control pressure of the power system from the load side. By participating in the peak shaving market, the transferable loads within the generation load aggregators can give full play to its adjustable characteristics, thereby reducing the cost of electricity consumption and increasing its profit, and providing a certain theoretical basis for the electricity market management to design the rules for adjustable users to enter the electricity market.

Suggested Citation

  • Haonan Zhang & Youwen Tian & Wei He & Zhining Liang & Zihao Zhang & Nannan Zhang, 2025. "The Generation Load Aggregator Participates in the Electricity Purchase and Sale Strategy of the Electric Energy–Peak Shaving Market," Energies, MDPI, vol. 18(2), pages 1-31, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:370-:d:1568562
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    References listed on IDEAS

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    1. Yubo Wang & Weiqing Sun, 2024. "A Two-Stage Robust Pricing Strategy for Electric Vehicle Aggregators Considering Dual Uncertainty in Electricity Demand and Real-Time Electricity Prices," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    2. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    3. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
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