摘要：In this paper, the medium voltage distribution network is used as the research object, and the NSGA-II algorithm is used to realize efficient search of load transfer routes. The distribution network topology is formed by the CIM information model, and the load groups carried by each section of the line are calculated. By simulating a fault, determine the power outage area, search for the load transfer path of the adjacent non-faulted power loss area, and combine different load sections to perform power flow calculation, verify whether the equipment load on the transfer channel exceeds the limit, and determine whether the transfer path is effective. The entire optimization process utilizes the fast non-dominated sorting and crowding comparison operators of the NSGA-II algorithm. While maintaining the diversity of the optimal population, through the elite strategy, the sampling space is expanded, so that the optimal process is more evenly distributed in the solution space.
其他摘要：In this paper, the medium voltage distribution network is used as the research object, and the NSGA-II algorithm is used to realize efficient search of load transfer routes. The distribution network topology is formed by the CIM information model, and the load groups carried by each section of the line are calculated. By simulating a fault, determine the power outage area, search for the load transfer path of the adjacent non-faulted power loss area, and combine different load sections to perform power flow calculation, verify whether the equipment load on the transfer channel exceeds the limit, and determine whether the transfer path is effective. The entire optimization process utilizes the fast non-dominated sorting and crowding comparison operators of the NSGA-II algorithm. While maintaining the diversity of the optimal population, through the elite strategy, the sampling space is expanded, so that the optimal process is more evenly distributed in the solution space.
