摘要
基于预测控制储能系统平抑风电并网波动功率的高、中、低频,在增大电网调度空间的基础上以提高全钒液流电池储能系统的使用寿命和运行经济性。首先,基于对山西晋北某风电场的预测功率数据异质点的判定结果,利用改进粒子群算法优化后的奇异值功率标准谱对预测波动功率修正;然后,利用离散小波变换将预测的风电场输出波动功率按频率划分为高、中、低频,并针对不同频段的波动功率分配合理的储能系统额定容量和输出功率以实现并网目标功率的预测控制。最后,实例验证所提方案可以在满足储能系统过充过放的前提下,使风电场平抑后的输出功率满足调度分配功率。
Based on the predictive control, the application of energy storage system to suppress the wind power fluctuation at high, medium and low frequencies is used for increasing the dispatching space of power grid for wind power, so as to improve the service life and operation economy of all vanadium redox battery energy storage system. Firstly, based on the result of the prediction of the power data heterogeneity of a wind farm in the north of Shanxi, the optimized particle swarm optimization is adopted to optimize the singular value power standard spectrum to predict the fluctuation power correction. Then, the discrete wavelet transform is used to divide the predicted output power of the wind farm into high, medium and low frequencies. According to the wave power distribution in different frequency bands, the reasonable capacity and output power of the energy storage system are allocated to achieve the predictive control of the power of the grid connected target. At last, it is proved that the proposed scheme can satisfy the overcharge and discharge of the energy storage system and make the output power of the wind farm after the suppression of the wind farm to meet the dispatching and distribution power.
作者
赵巧娥
郭敏
贾新春
高金城
周斌龙
Zhao Qiaoe;Guo Min;Jia Xinchun;Gao Jincheng;Zhou Binlong(Shanxi University, Taiyuan 030013, China)
出处
《电测与仪表》
北大核心
2019年第5期94-100,共7页
Electrical Measurement & Instrumentation
基金
国家联合自然科学基金资助项目(U1610116)
关键词
风电并网
预测控制
奇异点
小波变换
全钒液流电池
平抑波动
wind power grid-connected
predictive control
singularity
wavelet transform
vanadium redox battery
suppression fluctuation
