储能提升风电容量置信度的策略研究

Strategies for lifting the capacity credit of wind power by utilizing energy storage system

为避免间歇式能源的波动性和随机性带来的资料浪费,利用储能来配合间歇式能源,提升间歇式能源的置信度,充分利用其容量价值。首先选择有效载负荷容量作为置信度的评价标准,运用可靠性理论,基于序贯蒙特卡洛方法建模,利用弦截法计算出间歇式能源置信度。然后以提高间歇式能源置信度为优化目标,研究储能的捆绑策略,采用优化粒子群算法计算出储能的配置容量。最后,从可靠性以及经济性角度出发,计算出储能的最优容量配置值。结果显示储能可以有效提高风电的容量置信度。

In order to avoid data waste caused by the fluctuation and randomness of intermittent energy,energy storage was utilized to assist the intermittent energy,so as to lift the capacity credit of intermittent energy and sufficiently utilize its capacity value. Firstly,the effective load capacity was taken as the evaluation criterion of capacity credit,the reliability theory was applied and the sequential Monte Carlo Method was the basis for modeling,and the secant method was applied to calculate the capacity credit of intermittent energy; then increasing the capacity credit of intermittent energy was taken as the optimization target for researching the binding strategy of energy storage,the particle swarm algorithm was applied to calculate the configured capacity of energy storage; finally,on the basis of the reliability and economical efficiency,the optimized capacity configuration of energy storage was calculated. The result shows that energy storage can effectively lift the capacity credit of wind power.