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Research on optimal scheduling technology of virtual power plant based on ant-lion optimization algorithm
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Qi Yu, Weiliang Huang1, Xiaojie Liu2, Guangzong Ruan2, Yushi Ling1, Yuxiang Huang3, Guobiao Lin2
Renewable Energy Resources | 2024, 42(6) : 836 - 844
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Renewable Energy Resources | 2024, 42(6): 836-844
Research on optimal scheduling technology of virtual power plant based on ant-lion optimization algorithm
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Qi Yu, Weiliang Huang1, Xiaojie Liu2, Guangzong Ruan2, Yushi Ling1, Yuxiang Huang3, Guobiao Lin2
Affiliations
  • 1 Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd. Guangzhou 510620 China
  • 2 Dongfang Electronics Co., Ltd. Yantai 264000 China
  • 3 South China University of Technology Guangzhou 510641 China
Published: 2024-06-20
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The unique heatdetermined power working mode of coalfired cogeneration units and the antipeaking characteristics of wind power lead to the problems of insufficient peaking capacity and high carbon emissions in virtual power plants. In this paper, we propose an optimal scheduling technology of virtual power plant based on antlion optimization algorithm. The carbon capture technology is supplemented by a reasonable demand response mechanism to realize the flexible and lowcarbon operation of the virtual power plant. Firstly, an optimal scheduling model was established with the objective of the highest economic efficiency in one scheduling cycle. Secondly, a hybrid strategy based on chaotic mapping and tournament selection is designed. The boundary checking mechanism on the search space is utilized to effectively avoid the situation that too many potential solutions are at the same boundary. Finally, the simulation results show that the planned virtual power plant has a reasonable structure, and the proposed scheduling strategy can improve the system's new energy consumption capacity and total revenue while reducing carbon emissions by coordinating the resources on both the source and load sides.

integrated energy system  /  virtual power plant  /  antlion optimization  /  renewable energy consumption
Qi Yu, Weiliang Huang, Xiaojie Liu, Guangzong Ruan, Yushi Ling, Yuxiang Huang, Guobiao Lin. Research on optimal scheduling technology of virtual power plant based on ant-lion optimization algorithm[J]. Renewable Energy Resources, 2024 , 42 (6) : 836 -844 .
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Year 2024 volume 42 Issue 6
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Article Info
  • Receive Date：2023-10-13
  • Online Date：2025-07-22
  • Published：2024-06-20
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  • Received：2023-10-13
Funding
Affiliations
    1 Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd. Guangzhou 510620 China
    2 Dongfang Electronics Co., Ltd. Yantai 264000 China
    3 South China University of Technology Guangzhou 510641 China
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