基于孔雀优化算法的配电网分布式光伏储能分区配置优化

Optimization of Distributed Photovoltaic Energy Storage Partition Configuration in Distribution Network Based on Peacock Optimization Algorithm

为减少储能分区功率损耗优化配置偏差,本文提出了一种基于孔雀优化算法的配电网分布式光伏储能分区配置优化方法,规划了最优选址定容,设定了优化约束条件,部署了优化节点。基于孔雀优化算法构建了配置优化模型,采用迭代修正处理实现了储能配置的优化。测试结果表明,应用本文方法获取的功率损耗配置优化偏差比控制在了设定范围内,具有实际应用价值。

In order to reduce the deviation of optimal allocation of power loss in energy storage zones,a distributed photovoltaic energy storage zone allocation optimization method based on Peacock optimization algorithm is proposed in this paper.Plan the optimal location and capacity,set optimization constraints,and deploy optimization nodes.The configuration optimization model is built based on the Peacock optimization algorithm,and the energy storage configuration optimization is realized by iterative correction processing.The test results show that the deviation ratio control of power loss configuration optimization obtained by this method is within the set range,and has practical application value.