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An energy storage configuration method for new energy power station suitable for consumption and active support scenarios
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Yuyu Xia1, Bin Kong2, Baoan Wang3, Jiexing Wan1
Renewable Energy Resources | 2024, 42(8) : 1104 - 1110
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Renewable Energy Resources | 2024, 42(8): 1104-1110
An energy storage configuration method for new energy power station suitable for consumption and active support scenarios
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Yuyu Xia1, Bin Kong2, Baoan Wang3, Jiexing Wan1
Affiliations
  • 1 Yangzhou Polytechnic Institute Yangzhou 225127 China
  • 2 State Grid Ningbo Power Supply Company Ningbo 315010 China
  • 3 School of Electrical Engineering Southeast University Nanjing 210096 China
Published: 2024-08-20
Outline
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New energy power stations, while balancing the promotion of consumption and active support of scenario demand configuration for energy storage, will face problems such as random and complex appearances in different scenarios, cross coupling in time series, long solving time of traditional multiobjective optimization algorithms, slow convergence speed, and susceptibility to getting stuck in local solutions. Based on this, this article proposes a new energy storage configuration method suitable for multiple scenarios in new energy power plants. Based on the output data of new energy power stations, daily power prediction data, grid frequency data, etc., typical operating condition curves of energy storage demand are extracted, and an energy storage optimization configuration model is constructed. An improved multiobjective particle swarm optimization algorithm is proposed to solve the optimal energy storage configuration of new energy power stations. Finally, simulation analysis was conducted on actual new energy power plants to verify the effectiveness and practicality of the method proposed in this paper.

energy storage configuration  /  multi objective optimization  /  particle swarm optimization algorithm  /  new energy consumption  /  active support
Yuyu Xia, Bin Kong, Baoan Wang, Jiexing Wan. An energy storage configuration method for new energy power station suitable for consumption and active support scenarios[J]. Renewable Energy Resources, 2024 , 42 (8) : 1104 -1110 .
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Year 2024 volume 42 Issue 8
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Article Info
  • Receive Date：2024-01-18
  • Online Date：2025-07-22
  • Published：2024-08-20
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  • Received：2024-01-18
Funding
Affiliations
    1 Yangzhou Polytechnic Institute Yangzhou 225127 China
    2 State Grid Ningbo Power Supply Company Ningbo 315010 China
    3 School of Electrical Engineering Southeast University Nanjing 210096 China
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