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文章摘要
基于预测控制储能系统平抑风电场并网波动功率
Based on energy storage system to stabilize prediction of grid connected power fluctuation in wind farm
Received:January 12, 2018  Revised:January 12, 2018
DOI:
中文关键词: 预测控制  小波变换  奇异点  储能系统  平抑波动  风电并网
英文关键词: predictive  control, wavelet  transform, singular  point, energy  storage system, stabilize  fluctuation, wind  power integration.
基金项目:国家自然科学基金(U1610116)
Author NameAffiliationE-mail
zhaoqiaoe shanxi university 519758449@qq.com 
guomin* shanxi university 519758449@qq.com 
贾新春   
高金城   
周斌龙   
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中文摘要:
      根据山西晋北某风电场的实际运行风速数据得到预测功率数据之后,基于功率数据异质点的判定结果,利用IPSO优化奇异值功率标准谱对预测波动功率修正,然后利用小波变换将风电场输出波动功率按频段划分为高、中、低频成份,并将频谱分析与滤波技术相结合,针对不同频段的波动功率选择合理的储能系统额定容量、功率以及并网目标功率进行预测控制。结果表明,所提方法可以使风电场平抑后的输出功率尽可能的满足调度分配功率。
英文摘要:
      According to the actual operation of wind data from a wind farm in the north of Shanxi province have predictive power data, determine the power point based on heterogeneous data, using IPSO to optimize the singular value standard power spectrum correction to predict the fluctuating power, according to the fluctuation power of different frequency bands, the reasonable storage capacity, the rated capacity, the power and the grid connected target power are chosen to predict and control. The results show that the proposed method can make the output power of the wind farm stabilize as much as possible to meet the dispatching power distribution.
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