风力发电具有随机性和波动性的特点,对于电力系统的调度造成负面的影响,而蓄电池与风机组成的联合系统增加了风电场出力的可调度性。为提高风储联合系统的可调度性,提出一种风储联合优化的调度策略,调度策略采用分层调度的方法,考虑了蓄电池的特性对风电调度的影响。调度策略以收益最大化为目标,对蓄电池采用分组优化,充分考虑蓄电池的寿命和运行特性,得到经济性的调度结果。应用蒙特卡洛和场景削减方法,模拟真实风电场的预测出力与真实出力,采用混合整数规划的方法求解模型,通过仿真验证了调度策略对风电场可调度性和蓄电池优化的积极作用。
Because of randomness and fluctuation of wind power output, wind farms bring difficulties to power system dispatching. However, wind farms with battery energy storage systems can make wind power output more dispatchable. To improve wind farms power output dispatching, this paper proposes a coordinated wind-storage dispatch strategy, consisting of multi-layer dispatch and considering battery characteristics. Objective of this dispatch strategy is profit maximization, and the strategy optimizes each battery unit individually considering battery lifetime and operating characteristics. This paper applies Monte Carlo and scenario reduction algorithms to simulate forecasted and actual power output of wind farms, and uses mixed integer linear programming algorithm to solve the dispatch model. Results demonstrate effectiveness of the strategy on wind farms dispatching and battery optimization.