Abstract:With the continuous improvement of distributed power supply (DG) permeability, in the distribution network planning are having to DG considered in distribution network planning together. In contrast the basic particle swarm optimization (PSO) after the defect of easily plunged into local optimum, by using niche technology to find the global optimal, and the improved particle swarm algorithm based on non dominated sorting (NSPSO) to contain the DG distribution network planning. This paper establish a distributed power investment and operation cost minimum, active minimum network loss and voltage stability margin the biggest goal programming model, and combined with the simulation analysis of the IEEE 69 node distribution network, contrast algorithm as a result, from two aspects of economy and the stability is proved that the improved particle swarm optimization algorithm based on non dominated sorting in the planning of the distribution network with DG has a certain advantage.
何頔, 罗进, 唐世虎, 程实, 李彩云. 基于非支配排序的改进粒子群算法的含分布式电源的配电网规划[J]. 电气技术, 2018, 19(11): 60-63.
He Di, Luo Jin, Tang Shihu, Cheng Shi, Li Caiyun. Distribution network planning with distributed power supply based on non dominated sorting of improved particle swarm algorithm. Electrical Engineering, 2018, 19(11): 60-63.