基于HSA-PSO的配电网源-储协同优化控制方法

目前通常采用增加无功补偿装置的手段来解决高渗透率分布式电源接入时的配电网电压控制及网损优化问题，而兼顾分布式电源和储能系统调节作用的控制方法较少。考虑储能系统和分布式电源的协同配合，建立以配电网电压偏差最小、有功网损最小及分布式电源消纳量最大的配电网多目标优化控制模型。有效结合和声搜索算法和粒子群优化算法，提出具有自适应能力的和声搜索-粒子群算法（HSA-PSO）对所建立的模型进行求解。通过仿真算例验证了本文优化控制方法的有效性。

Generation-Storage Cooperative Optimization Control Method for Distribution Network Based on HSA-PSO Algorithm

Currently voltage control and network loss caused by the integration of high-penetration of distributed generations are usually tackled out by means of reactive power compensation. However, there are fewer control methods that take into account distributed generations and energy storage systems. Based on the cooperation control of distributed generations and energy storage systems, this paper establishes a multi-objective optimal control model of the distribution network with the goals of minimizing voltage deviation, minimizing network power loss and maximizing the consumption of distributed generation. Combining harmony search algorithm and particle swarm optimization algorithm effectively, a harmony search-particle swarm optimal algorithm(HSA-PSO) is proposed to solve the established model. The simulation example verifies the effectiveness of the optimization control method.