改善低压农网电压质量的分布式光伏电源优化配置方法

为解决低压农网电压偏低问题，提出一种改善电压质量的利用遗传算法优化分布式光伏电源配置的方法。首先建立树状型结构电网的网基邻接表，推导出各个节点所带总负荷，得到光伏接入前后的各节点电压计算方法。然后建立以分布式光伏电源容量配置最小、电网节点电压偏差最小为目标的目标函数和考虑电压偏差范围、配置容量限制的约束条件。最后构建基于遗传算法的分布式光伏电源优化配置方法，并通过实际算例进行验证分析。仿真结果表明，该方法在不改变电网架构和增加补偿设备的情况下，通过合理配置光伏电源能有效改善电网各节点的电压偏差。

Optimal allocation method of distributed photovoltaic power for improving the voltage quality of low voltage rural network

In order to solve the lower voltage problem of low voltage rural network, a method for improving the voltage quality based on genetic algorithm to optimize the allocation of distributed photovoltaic power is proposed. Firstly, the network adjacency list of tree structured grid is established, the total load of each node is deduced, and the node voltage calculation method of each node before and after photovoltaic connected is obtained. Then the objective function and constraints are established. The objective function includes least allocation of distributed photovoltaic power capacity and node voltage deviation minimal. The constraint includes voltage deviation range, allocation capacity constraints. The optimization allocation method of distributed photovoltaic power based on genetic algorithm is constructed. And actual example is verified and analyzed. Simulated results show that the proposed method can improve the voltage deviation of each node in the network through the rational allocation of photovoltaic power without changing the grid structure and increasing the compensation equipment.