基于混合算法的含分布式电源配电网重构研究

随着新能源技术在配电网领域的发展，分布式电源（distributed generation，DG）接入配电网的研究成为热门。与传统配电网相比，含DG的配电网会出现弱环网和非PQ节点，而传统潮流计算方法只能解决PQ节点和辐射状网络。为解决配电网接入DG后重构的问题，采用叠加定理解决开关倒换过程中产生的弱环网，同时改进前推回代潮流计算方法，使得接入DG的节点可以正常参与潮流计算。同时结合纵横交叉算法（crisscross optimization，CSO）和粒子群算法（particle swarm optimization，PSO）的优势，提出混合算法（crisscross particle swarm optimization, CPSO）优化含分布式电源的配电网重构问题。仿真部分是以典型的IEEE 33节点配电网为例，在考虑DG接入方式为PI节点、PV节点和PQ（V）节点的情况下进行仿真，结果证明了配电网合理的接入DG后，可以起到降低网损和提高电压质量的作用。

Distribution Network Reconfiguration with Distributed Generation Based on CPSO Algorithm

With the development of new energy technology in the field of distribution network, the distributed generation （DG） connected to distribution network has become a hot research area. It will appear weak loops and non-PQ nodes in the distribution network with DGs compared with the traditional distribution network, and the traditional power flow calculation method only can be used for PQ nodes and radial network. In order to solve the distribution network reconfiguration problem after DG connection, this paper uses superposition theory to solve the weak loop during switching process, and improves power flow calculation method based on forward-backward sweep method which can make the nodes in DG involved in the power flow calculation. Combining the advantages of crisscross optimization （CSO） algorithm and particle swarm optimization （PSO） algorithm, we propose crisscross particle swarm optimization （CPSO） algorithm to optimize the reconfiguration problem of distribution network with DG. Finally, the simulation is based on typical distribution network with 33 nodes with considering DG access modes of PI node, PV node, PQ（V） node, whose results show that the reasonable access of DG in distribution network can reduce the network loss and improve the voltage quality.