ISSN 1674-0629
CN 44-1643/TK
CN 44-1643/TK
Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory
Feifei WANG , Shenxi ZHANG , Yi SONG , Wenliang LIU , Wei DU , Haozhong CHENG
›› 2025, Vol. 19 ›› Issue (4) : 78 -92.
Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory
To adapt to the new trend of a large number of market entities participating in the investment and construction of distribution networks, a distribution network source-network-load-storage collaborative planning method is proposed considering the mixed game relationship of multiple agents. Firstly, the interactive behaviors and respective interests of four main agents are analyzed in the planning process, which are distribution network operators, distributed power generation operators, energy storage operators, and power users. And the mixed game relationship of master-slave cooperation is established. Then, a hybrid game planning model is constructed with the distribution network operator as the leader with an embedded source-load-storage side follower alliance cooperative game. A solution strategy combining target cascade analysis method and adaptive coefficient alternating direction multiplier method is proposed to achieve decoupling and distributed iterative solution of the two-layer model. Finally, the case analysis shows that the planning method can effectively balance the interests and demands of all parties. The investment and utilization of distributed new energy are promoted. And the economic benefits of the planning scheme is enhanced.
distribution network / collaborative planning / mixed game theory / multiple agents / source-network-load-storage
the National Natural Science Foundation of China(52177099)
Shanghai Youth Science and Technology Star Project(23QA1405400)
the Headquarters Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-228-XG)
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