Research and Simulation of IBPSO-based Fault Location in Power Distribution Network adopting DG

4th International Conference on Energy Equipment Science and Engineering

Wang, Ying^1 ; Shi, Zhan^1 ; Kang, Zhongmiao^1 ; Li, Xingnan^1

Power Dispatching Control Center, Guangdong Power Grid, Guangzhou

510600, China^1

关键词: Binary particle swarm optimization;    Coding mode;    Compression factor;    Inertia weight;    Power distribution network;    System management;    System structures;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/2/022027/pdf
DOI  :  10.1088/1755-1315/242/2/022027

来源: IOP

【 摘 要 】

By analyzing the system structure of power distribution network, the paper summarizes the defects suffered by traditional binary particle swarm optimization (BPSO) and studies the application of improved BPSO (IBPSO) in fault location in power distribution network adopting distributed generation (DG). The standard BPSO is improved by introducing compression factor and Linearly Decreasing Inertia Weight (LDIW), which achieves the improvement on the convergence and fault tolerance. Also, with the application of the new algorithm in new field, the coding mode in DG power distribution network is improved and optimized. Simulation experiment is performed to rationally validate the feasibility of the new algorithm and gains the satisfactory results, which provides better technical space for system management of power distribution network as well as achieves the popularization and promotion of DG power distribution network in modern society.