基于遗传算法的辐射型配电网无功补偿设备优化配置

Optimal Configuration of Reactive Power Compensation Equipment for Radial Distribution Network Based on Genetic Algorithm

为了实现配电网中并联电容器的合理配置,提出一种针对辐射型配电网的潮流算法,在此基础上建立基于遗传算法的配电网无功补偿设备优化配置模型,并在1.0 IEEE-33节点测试模型上对该算法进行了测试。结果表明,通过安装并联电容器,5节点、6节点、7节点优化配置方案均可有效降低系统有功损耗,在3 a内即可回收投资成本;6节点、7节点方案经济性优于5节点,考虑节点多对应运维工作量大,最终选择6节点方案。

In order to realize the reasonable configuration of the shunt capacitors in the distribution network,a power flow algorithm for radial distribution network is proposed.On this basis,an optimal configuration model of the distribution network reactive power compensation based on genetic algorithm is established,and the algorithm is tested on the IEEE-33 node test model.The results show that by installing shunt capacitors,configuration schemes of node 5,6 and 7 can effectively reduce system active loss,and can recover the investment cost within three years.Schemes of node 6 and 7 are more economical than scheme of node 5.Considering that when there are large number of nodes,the workload of operation and maintenance is heavy,scheme of node 6 is finally chosen.