计及储能系统的馈线光伏消纳能力随机场景分析

基于某一实际系统馈线,结合当地实际负荷及光伏规划容量,利用随机场景方法,通过分析系统馈线的最大光伏消纳能力,指出该馈线的光伏消纳能力不能满足规划要求;引入铅酸储能系统,在馈线的光伏消纳能力达到要求的情况下利用局部L指标和粒子群优化算法对铅酸储能定址定容。通过对比仿真进一步验证了储能可以大幅度提高馈线的光伏消纳能力,具有改善馈线系统稳定性的作用;同时,适当弃光不仅可以有效减少储能安装容量、节约成本,而且使得馈线系统电压更加稳定。

Photovoltaic Accommodation Capacity Determination of Actual Feeder Based on Stochastic Scenarios Analysis with Storage System Considered

A stochastic analysis is introduced to determine an actual feeder photovoltaic (PV) accommodation capacity with PV planned capacity constraint taken into account. It is shown by stochastic simulation results that the maximum PV accommodation of the original feeder is incapable of satisfying the planned PV capacity. Hence the introduction of a lead-acid storage system. Under the condition of the feeder PV accommodation capacity up to requirement, a local L index and particle swarm optimization (PSO) algorithm are used for siting and sizing of the energy storage system. It is demonstrated that the storage system is able to significantly improve feeder PV accommodation capacity and voltage stability by simulation results. And appropriate PV curtailment can not only effectively reduce storage size, but is cost-effective, and conducive to feeder voltage stability. This work is supported by National Natural Science Foundation of China (No. 51207040), National High Technology Research and Development Program of China (863 Program) (No. 2014AA052005) and State Grid Corporation of China.