OPTIMAL ALLOCATION OF LARGE SCALE FLEXIBLE RESOURCE CLUSTERS IN VIRTUAL POWER PLANT

Huang Weiliang; Wang Fei; Zhang Yang; Mo Lili; Lan Junkun; Chen Haoyong

doi:10.19912/j.0254-0096.tynxb.2024-0198

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (6) : 451-461. DOI: 10.19912/j.0254-0096.tynxb.2024-0198

OPTIMAL ALLOCATION OF LARGE SCALE FLEXIBLE RESOURCE CLUSTERS IN VIRTUAL POWER PLANT

Huang Weiliang¹, Wang Fei², Zhang Yang², Mo Lili^3,4, Lan Junkun³, Chen Haoyong³

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Abstract

To address the difficulty of aggregating and applying flexible resources in large urban power grids, a resource cluster optimization configuration algorithm is proposed. Firstly, a hierarchical partitioned clustering strategy based on the characteristics of flexible resources and auxiliary service demand is proposed, and the density-based spatial clustering of applications with noise （DBSCAN） clustering algorithm is used to cluster the resources to participate in the virtual power plant tasks with resource clusters. Secondly, according to the regulated power required by the virtual power plant and the capacity potential of the resource cluster, optimize the time period for its participation in tasks to maximize the resource utilization efficiency and the operational benefits of the virtual power plant. And then, the state potential game theory and penalty mechanism are introduced to optimize the resource allocation in the time period to ensure the stability and reliability of the task process. Finally, an arithmetic example is given to prove that under this scheme, the large-scale flexible resources of the virtual power plant can be efficiently optimized and allocated, and the algorithm is feasible and effective.

Key words

virtual power plants / game theory / optimization algorithms / density-based spatial clustering of applications with noise algorithm / resource cluster / penalty mechanisms

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Huang Weiliang, Wang Fei, Zhang Yang, Mo Lili, Lan Junkun, Chen Haoyong. OPTIMAL ALLOCATION OF LARGE SCALE FLEXIBLE RESOURCE CLUSTERS IN VIRTUAL POWER PLANT[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 451-461 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0198

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