ISSN 1674-0629
CN 44-1643/TK
CN 44-1643/TK
Cluster Partitioning and Operation Scheduling Strategy of Distribution Network Considering Electric Vehicles and Distributed PV Collaboration
Kai CHEN , Jinggang WANG , Hui WANG , Jian SUN , Deping KE , Jian XU
›› 2025, Vol. 19 ›› Issue (3) : 15 -23.
Cluster Partitioning and Operation Scheduling Strategy of Distribution Network Considering Electric Vehicles and Distributed PV Collaboration
With the high proportion and large-scale distributed photovoltaic grid-connection and the popularity of electric vehicles, how to exert the flexibility of electric vehicles to coordinate friendly distributed photovoltaic and local electric vehicle load flexibility resources in the distribution network is the important issue that needs to be solved. Therefore, distribution network cluster partitioning and operation strategy are proposed considering the collaboration between electric vehicles and distributed photovoltaic. Firstly, an adjustable charging power and flexible aggregation model of electric vehicles is established, and a distributed network cluster partitioning method based on Louvain algorithm with improved modularity index is proposed. Secondly, based on historical data, multi-time scale charging scenarios of electric vehicles are generated, and a distributed cluster collaborative optimization model is proposed considering charging flexibility of electric vehicles. Finally, the algorithm of synchronous alternating direction multiplier method (SADMM) is used to solve distributedly for optimal models of all clusters. The simulation results show that the use of electric vehicles charging flexibility to participate in the collaborative operation of the distribution network can effectively improve the utilization rate of distributed photovoltaic, and ensure the safety of the voltage operation of the distribution network while meeting the charging needs of electric vehicles users.
distributed photovoltaic / synchronous alternating direction multiplier method (SADMM) / collaborative optimization / cluster partitioning / electric vehicles
the National Science Foundation of China(52377121)
the Science and Technology Project of State Grid Henan Electric Power Company(5217I0230004)
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