主动配电网分布式电源渗透率研究

Research on Distributed Power Supply Permeability of Active Distribution Network

本文提出一种基于网络重构的提高主动配电网分布式电源渗透率的方法。一种基于粒子群和启发式算法的混合优化方法被用来寻找具有更高渗透率的网络结构。首先,利用二进制粒子群(BPSO)优化算法进行初始搜索,然后,对粒子群优化结果进行聚类分析,作为启发式算法的初始解进一步寻优。一种新的网络拓扑分析方法与粒子群算法相结合用于提高粒子的搜索效率。连续潮流方法被用来精确求解配电网最大输送能力,克服常规潮流计算分岔点附近不收敛的问题。通过IEEE123算例仿真分析,测试结果验证了本文所提方法在大幅提高系统最大输送能力方面的有效性。

This paper proposes a method based on network reconfiguration technology to improve the permeability of DG outs in an active distribution network. A hybrid optimization method based on particle swarm optimization （PSO） is used to seek the better network configuration with a higher permeability. Firstly, binary particle swarm optimization （BPSO） algorithm is employed for a preliminary search. Secondly, make the results obtained from PSO clustering analysis and are used as the initial solution of the heuristic algorithm. A new method of network topology analysis combined with PSO is used to improve the eficiency of particle search. The continuation power fiow method is used to seek the maximum delivery capacity of distribution network accurately, overcoming the problem of nonconvergence near the bifurcation point for the conventional power fiow solver. The IEEE 123-bus test network is used to verify the proposed methodology and the numerical studies demonstrate the efiectiveness of the proposed methodology in greatly increasing available delivery capability.