基于混合算法的含分布式电源的配电网优化

考虑到分布式电源的选址与定容对配电网有着重要影响意义,针对分布式电源的接入对配电网系统能量损耗和各节点电压影响的问题,首先建立了以有功功率损耗和系统节点电压的目标函数优化模型,提出了充分整合引力搜索算法(GSA)的勘探能力和粒子群(PSO)的开采能力的混合算法(PSOG-SA),同时确定权重系数,最后采用IEEE-33标准节点配电网模型进行了仿真实验,通过和其他两种算法的比较,验证了配电网系统在该算法下的有效性和可靠性.算例分析表明,合理的DG接入能够一定程度上降低系统有功功率损耗,改善节点电压.

Optimization of Distribution Network with Distributed Generation Based on Hybrid Algorithmon

Considering that the location and parameters of the distributed generation have an important impact on the distribution network,in order to eliminate the influence of the distributed generation on the energy loss and each node voltage in the distribution network system,the objective function optimization model of active power loss and system node voltage is established firstly.A hybrid algorithm (PSOGSA) is proposed to fully integrate the exploration capability of the gravitational search algorithm (GSA) and the exploitation capability of particle swarm optimization (PSO).Meanwhile,the weight coefficient is determined.Finally,the simulation experiment is carried out by using the IEEE-33 standard node distribution network model.By comparing with other two algorithms,the validity and realiability of the system are verified.The results show that a reasonable DG access can reduce the system active power loss to a certain extent and improve the node voltage.