基于风功率预测的风电场平滑控制电池容量的需求分析

ANALYSIS ON BATTERY CAPACITY DEMAND FOR WIND FARM SMOOTH CONTROL BASED ON WIND POWER PREDICTION

基于一典型风电场(2MW)的有功功率输出,采用指数平滑预测法实现了风电场的功率预测。建立以平滑控制为目的的电池储能系统控制策略,实现风电场有功功率平滑输出的仿真研究和电池容量需求分析。研究分析表明:结合风电场预测系统实现功率平滑输出,可大幅减少电池容量需求;预测周期越短,电池容量需求越小,并根据仿真结果,通过非线性拟合得到预测周期与电池容量需求的关系。为了降低电池容量,最后提出一种确定配置电池容量的优化方法,并通过仿真证明了该计算方法的可行性和有效性。

Based on the active power output of a typical wind farm（2MW）, the wind power prediction by adopting exponential smoothing forecasting method was presented. Then, control strategies of battery energy storage system （BESS） were established with the aim of smooth control, and simulation research on the active power output of wind farm and battery capacity demand analysis were conducted. The analysis results showed that the realization of smooth power output by adopting wind farm prediction system can reduce the battery capacity demand on a large scale, and the shorter the prediction period is the smaller the battery capacity demand will be. By the basis of the simulation results and the non-linear fitting, the relation between prediction period and battery capacity demand was thus obtained. To decrease the capacity of battery, an optimization method ascertaining the configuration of the capacity of battery was proposed in the end of this paper. The simulation results prove the feasibility and validity of the method.