Review on Target Tracking of Wind Power and Energy Storage Combined Generation System

2018 2nd International Conference on Power and Energy Engineering

Guo, Xuewei^1,2 ; Xu, Man^1,3 ; Wu, Linlin^1,3 ; Liu, Hui^1,3 ; Sheng, Siqing^2

State Grid Jibei Electric Power Co. Ltd. Research Institute, North China Electric Power Research Institute Co. Ltd., Beijing, China^1

Department of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China^2

Grid-connected Oper. Technol. for Wind-Solar-Storage Hybrid Syst. State Grid Corp. Key Laboratory, Beijing, China^3

关键词: Battery energy storage;    Combined generation systems;    Control strategies;    Environmental pollutions;    Management ability;    Power generation systems;    Renewable energy power generations;    Wind power forecasting;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/192/1/012053/pdf
DOI  :  10.1088/1755-1315/192/1/012053

来源: IOP

【 摘 要 】

The utilization of large-scale renewable energy resources can effectively alleviate the shortage of traditional fossil fuel energy resources and the problem of environmental pollution. In order to realize the grid-friendly access of renewable energy power generation represented by wind power, it is necessary to involve energy storage, of which the battery energy storage is the most widely used type, and build a relatively controllable combined power generation system. Target tracking is one of the demand that wind power and energy storage combined generation system is supposed to meet. According to the discrepancies in tracking target, this paper firstly categorizes the target tracking issue into three parts, namely tracking wind power forecasting curve, tracking generation plan and tracking dynamic power generation index. Then based on the categories and considering their own research focuses, relevant literatures are summarized and compared. Conclusions and future research points are provided in the end. It is found that the issue of tracking dynamic power generation index worth more attention attributed to its novelty and complexity, where future work may be conducted from two aspects, the mathematical model dynamic power generation index and control strategy with overall management ability.