Research on Multi-Objective Planning Method of New Energy Field Station Convergence Network Based on Co-evolution Algorithm

The shortest path to directly connect the new energy field station to the main network station is generally chosen in new energy field station convergence network planning, ignoring the network power flow characteristics in actual operation, which may easily cause local channel flow blockage, poor system anti-interference and long local load power supply channel. Therefore, the planning principles of the new energy field and station convergence network is systematically analyzed in this paper. Based on the proposed quantitative indicators of traversal and anti-interference, the comprehensive characteristics was set as the objective, considering the construction cost, new energy consumption rate, DC channel utilization, power flow crossing and anti-interference in the planning process of the new energy power system. A multi-objective collaborative optimization model for the collection network was established combined with the connection of new energy stations and the distribution constraints of power flow, which was solved by an algorithm based on co-evolution. Moreover, the IEEE 14-node backbone network was set as a backbone network as an example. A collection plan for 10 wind farms to be connected to the main network is proposed. Based on multi-objective coordination and optimization, the overall performance of the system is further improved.