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Research on large-scale renewable energy efficient aggregation based on virtual power plant operation method
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Zhikai Liu1, Shaofeng Yu1, Hua Liu2, Changjin Hao2
Renewable Energy Resources | 2024, 42(2) : 215 - 222
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Renewable Energy Resources | 2024, 42(2): 215-222
Research on large-scale renewable energy efficient aggregation based on virtual power plant operation method
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Zhikai Liu1, Shaofeng Yu1, Hua Liu2, Changjin Hao2
Affiliations
  • 1 Zhejiang Huadian Equipment Testing and Research Institute Co., Ltd. Hangzhou 310000 China
  • 2 Sichuan Energy Internet Research Institute, Tsinghua University Chengdu 610000 China
Published: 2024-02-20
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In order to improve the grid connected efficiency of largescale renewable energy and reduce the impact on traditional power grid, this paper studies the method of aggregating distributed renewable energy and energy storage stations into virtual power plants. By describing the feasible operation domain after aggregation, peak shaving and load filling can be realized, and fossil energy consumption and environmental pollution can be reduced. A virtual power plant flexible polymerization method based on Minkowski sum and convex cell edge detection is proposed. Based on Multiple Objective Particle Swarm Optimization (MOPSO) algorithm, A set of objective functions was established considering both conventional unit operation constraints and energy conservation and capacity constraints of energy storage power station. The multiobjective optimization problem of optimal output of multitype units and charge and discharge sequence of the distributed energy storage was solved, and the unit commitment optimization with virtual power plant was realized. Furthermore, wind power plant and distributed energy storage are added into the standard case of IEEE11 units for simulation verification. The calculation results show that the virtual power plant scheme based on MOPSO optimization has significant effects on renewable energy accommodation, operation cost reduction and fossil energy saving.

renewable energy resources  /  virtual power plant  /  distributed energy storage  /  aggregate equivalence
Zhikai Liu, Shaofeng Yu, Hua Liu, Changjin Hao. Research on large-scale renewable energy efficient aggregation based on virtual power plant operation method[J]. Renewable Energy Resources, 2024 , 42 (2) : 215 -222 .
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Year 2024 volume 42 Issue 2
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Article Info
  • Receive Date：2022-11-23
  • Online Date：2025-07-22
  • Published：2024-02-20
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  • Received：2022-11-23
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    1 Zhejiang Huadian Equipment Testing and Research Institute Co., Ltd. Hangzhou 310000 China
    2 Sichuan Energy Internet Research Institute, Tsinghua University Chengdu 610000 China
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