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Multi-Time-Scale Low-Carbon Economic Dispatch Method for Virtual Power Plants Considering Pumped Storage Coordination

Author

Listed:
  • Junwei Zhang

    (SPIC Green Energy Science & Technology Development Co., Ltd., Beijing 100095, China)

  • Dongyuan Liu

    (State Grid Jibei Electric Power Co., Ltd. Chengde Power Supply Company, Chengde 067000, China
    School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Ling Lyu

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Liang Zhang

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Huachen Du

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Hanzhang Luan

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Lidong Zheng

    (School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

Low carbon operation of power systems is a key way to achieve the goal of energy power carbon peaking and carbon neutrality. In order to promote the low carbon transition of energy and power and the coordinated and optimized operation of distributed energy sources in virtual power plants (VPP), this paper proposes a framework for collaborative utilization of pumped storage–carbon capture–power-to-gas (P2G) technologies. It also constructs a multi-time scale low carbon economic dispatch model for VPP to minimize the internal resource operation cost of VPP in each time period. During the intraday scheduling stage, the day-ahead scheduling results as the planned output and the energy flow is then dynamically corrected at a short-term resolution in the framework. This allows for the exploration of the low-carbon potential of each aggregation unit within the virtual power plant. The results of the simulation indicate that the strategy and model proposed in this paper can effectively encourage the consumption of renewable energy sources, promote the low-carbon operation of power system power, and serve as a valuable reference for the low-carbon economic operation of the power system.

Suggested Citation

  • Junwei Zhang & Dongyuan Liu & Ling Lyu & Liang Zhang & Huachen Du & Hanzhang Luan & Lidong Zheng, 2024. "Multi-Time-Scale Low-Carbon Economic Dispatch Method for Virtual Power Plants Considering Pumped Storage Coordination," Energies, MDPI, vol. 17(10), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2348-:d:1393645
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    References listed on IDEAS

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    1. Li, Xue & Zhang, Rufeng & Bai, Linquan & Li, Guoqing & Jiang, Tao & Chen, Houhe, 2018. "Stochastic low-carbon scheduling with carbon capture power plants and coupon-based demand response," Applied Energy, Elsevier, vol. 210(C), pages 1219-1228.
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