考虑风电出力不确定性的储能容量机会约束规划配置

摘要

Energy storage plays an important role in increasing the acceptable grid-connected capacity for wind power. Aiming at the uncertainty and intermittence of wind power, a chance-constrained programming based battery energy storage system (BESS) sizing model was proposed. The constraints of wind power utilization and state of charge (SOC) of BESS were considered, and the wind output fluctuation was subject to within a certain limit. Genetic algorithm was used to solve the optimization problem, and Monte-Carlo method was applied to deal with the chance-constrained question. Furthermore, a control strategy was proposed to command BESS to charge or discharge of concerning discharge penalty, so as to extend the life span. The results indicate that the configuration of BESS capacity gets a tradeoff between power quality and cost.%储能系统对风能等可再生能源实现可调度运行有着十分重要的作用.针对风电出力的不确定性问题,提出了一种基于机会约束规划的电池储能系统(BESS)容量配置方法.考虑风电利用率和储能装置荷电状态(SOC)约束,以储能成本最低为目标,采用模拟技术和遗传算法相结合的方法求解,得到了风电输出波动不超过某一区间的置信度与储能最佳配置成本间的关系.此外,在储能系统的控制策略中引入了放电惩罚因子,修正了储能装置的充放电功率,从而达到了延长使用寿命的效果.研究结果表明,BESS容量配置方法在电能质量和经济性间取得了适度的折中.