会议论文详细信息
20th Innovative Manufacturing Engineering and Energy Conference
An optimal sizing method for energy storage system in wind farms based on the analysis of wind power forecast error
机械制造;能源学
Ye, R.L.^1 ; Guo, Z.Z.^1 ; Liu, R.Y.^1 ; Liu, J.N.^2
Department of Electrical Engineering, Harbin Institute of Technology, Harbin
150001, China^1
State Grid AC Engineering Construction Company, Beijing
100052, China^2
关键词: California;    Energy storage systems;    Non-parametric estimations;    Optimal size;    Optimal sizing;    Scheduling periods;    Urgent problems;    Wind power forecast;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/161/1/012085/pdf
DOI  :  10.1088/1757-899X/161/1/012085
Subject:机械制造|能源学
来源: IOP
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【 摘 要 】
Energy storage system (ESS) in a wind farm can effectively compensate the fluctuations of wind power. How to determine the size of ESS in wind farms is an urgent problem to be solved. A novel method is proposed for designing the optimal size of ESS considering wind power uncertainty. This approach uses non-parametric estimation method to analysis the wind power forecast error (WPFE) and the cumulative wind power deviation (CWPD) within the scheduling period. Then a cost-benefit analysis model is established to obtain the optimal size of ESS based on the analysis of WPFE and CWPD. A series of wind farm data in California are used as numerical cases, which presents that the algorithm presented in this paper has good feasibility and performance in optimal ESS sizing in wind farms.
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