分布式光伏储能系统的优化配置方法

光伏发电的随机性和间歇性导致资源利用率低，储能具备控制灵活、响应快速的特性，是当前解决光伏并网和提高消纳的有效手段之一。目前，高昂投资成本是制约储能推广应用的关键，文中从成本角度出发研究了分布式光伏系统中储能的优化配置方法。首先，以分布式储能系统的投资和运行成本为目标，同时考虑储能接入位置、配置容量、荷电状态和电网运行状态等为约束条件建立双层优化模型；然后，介绍优化模型求解方法，外层采用遗传算法优化储能配置位置、功率和容量，内层采用粒子群算法结合MATPOWER潮流计算工具优化储能日内运行策略；最后，在Matlab软件中采用IEEE9节点系统验证了优化配置方法的可行性和有效性。

Optimal Configuration Method of Distributed Photovoltaic Energy Storage System

The randomness and intermittent nature of photovoltaic power generation lead to low resource utilization, and energy storage has the characteristics of flexible control and rapid response. It is currently one of the effective means to solve photovoltaic grid connection and improve consumption. At present, the high investment cost of energy storage is the key to restrict its promotion and application. Therefore, the optimal configuration method of energy storage in distributed photovoltaic systems is studied from the perspective of cost. Firstly, take the investment and operating cost of distributed energy storage system as the goal, a two-layer optimization model is established while considering the storage access location, configuration capacity, state of charge, and grid operation status as constraints. And then the optimization model solution method is introduced, that is, the outer layer uses genetic algorithm to optimize energy storage configuration location, power and capacity, and the inner layer uses particle swarm algorithm combined with MATPOWER power flow calculation tool to optimize the daily operation strategy of energy storage. Finally, the IEEE 9-node system is used in Matlab software to verify the feasibility and effectiveness of the proposed optimal configuration method.