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Distribution System Feeder Reconfiguration Considering Optimal Dispatching Of Distributed Generators

机译:考虑分布式发电机的最佳调度,分配系统进纸器重新配置

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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.
机译:鉴于分布式网络中分布式电力的渗透率增加,分布式发电(DG)的电力注入直接影响进料器重新配置的结果。为了优化分配网络的性能,提出了考虑DGS最佳调度的分配系统进纸器重新配置方法。传统量子粒子群优化(QPSO)算法改进以实现QPSO的并行计算和改进的整数编码量子粒子群综合优化算法(ICQPSO)。但是,可以在优化中处理两个控制变量分布网络重新配置和功率注入DG并达到实际功率损失减少和电压稳定性改进。调度DGS根据生成机构分为四种网格连接类型,并在功率流中精确计算。将建议的综合优化算法应用于PG&E 69 -Bus径向分布系统的仿真结果表明,该算法有效。

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