Distribution System Feeder Reconfiguration Considering Optimal Dispatching Of Distributed Generators

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Guan, Wanlin^1

Electric Power Research Institute of State Grid Heilongjiang Electric Power Co, Ltd., Harbin, Heilongjiang

150030, China^1

关键词: Comprehensive optimizations;    Distributed generators;    Distribution network reconfiguration;    Feeder reconfigurations;    Quantum particle swarm optimization;    Quantum particle swarm optimization algorithm;    Radial distribution systems;    Voltage stability improvement;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032061/pdf
DOI  :  10.1088/1757-899X/452/3/032061

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In view of the increasing penetration rate of distributed power in distribution network, power injection of distributed generation (DG) directly affects the result of feeder reconfiguration. In order to optimize the performance of distribution network, a distribution system feeder reconfiguration method considering optimal dispatching of DGs is proposed. Traditional quantum particle swarm optimization (QPSO) algorithm is improved to realize parallel computing of QPSO and improved integer coding quantum particle swarm optimization algorithm(ICQPSO).However, two control variables, distribution network reconfiguration and power injection of DG, can be processed in the optimization and achieve real power loss reduction and voltage stability improvement. The dispatchable DGs are divided into four grid-connected types according to the generation mechanism and calculated accurately in power flow. Simulation results of applying the proposed comprehensive optimization algorithm to PG&E 69-bus radial distribution system show that the proposed algorithm is effective.