Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition

被引:0
|
作者
Wu J. [1 ]
Ding M. [1 ]
机构
[1] Anhui New Energy Utilization and Energy Saving Laboratory, Hefei University of Technology, Hefei
来源
Wu, Jie (hf1993wj@163.com) | 1600年 / Automation of Electric Power Systems Press卷 / 41期
关键词
Adaptive wavelet packet decomposition; Fuzzy control; Hybrid energy storage system (HESS); Wind power generation;
D O I
10.7500/AEPS20160607009
中图分类号
学科分类号
摘要
A hybrid energy storage system (HESS) consisting of battery and super capacitor is developed to mitigate wind power fluctuation and realize smooth integration of wind power. According to the fluctuation characteristics of wind power in different output scenarios, and considering the grid regulations on wind power volatility and the performance characteristics of HESS, a novel self-adaptive wavelet packet decomposition and HESS primary power distribution method is proposed, which can yield wind power grid-connected values and HESS primary power instructions. Then the HESS primary power instruction will be given secondarymodification using fuzzy optimal control inside HESS according to the state of charge (SOC) of the super capacitor, and the final HESS power distribution instruction can be determined. Simulation results show that the proposed strategy is able to achieve optimal decomposition and rational distribution of wind power, ensure the SOC of HESS working within the reasonable range, effectively improve the smoothing effect of wind power output fluctuation, and guarantee long-term stable operation of the HESS. © 2017 Automation of Electric Power Systems Press.
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页码:7 / 12
页数:5
相关论文
共 19 条
  • [1] Yuan X., Overview of problems in large scale wind integrations, Journal of Modern Power Systems and Clean Energy, 1, 1, pp. 22-25, (2013)
  • [2] Basit A., Hansen A.D., Altin M., Et al., Compensating active power imbalances in power system with large-scale wind power penetration, Journal of Modern Power Systems and Clean Energy, 4, 2, pp. 229-237, (2016)
  • [3] Gonzalez-Longatt F.M., Impact of emulated inertia from wind power on under-frequency protection schemes of future power systems, Journal of Modern Power Systems and Clean Energy, 4, 2, pp. 211-218, (2016)
  • [4] Li W., Joos G., Abbey C., Wind power impact on system frequency deviation and an ESS based power filtering algorithm solution, IEEE PES Power Systems Conference and Exposition, pp. 2077-2084
  • [5] Wang H., Jiang Q., An overview of control and configuration of energy storage system used for wind power fluctuation mitigation, Automation of Electric Power Systems, 38, 19, pp. 126-135, (2014)
  • [6] Zhang G., Tang X., Qi Z., Design of a hybrid energy storage system on leveling off fluctuating power outputs of intermittent sources, Automation of Electric Power Systems, 35, 20, pp. 24-28, (2011)
  • [7] Mohamed A., Salehi V., Mohammed O., Real-time energy management algorithm for mitigation of pulse loads in hybrid microgrids, IEEE Trans on Smart Grid, 3, 4, pp. 1911-1922, (2012)
  • [8] Ding M., Wu J., Zhu C., Et al., A real-time smoothing control strategy with SOC adjustment function of storage systems, Proceedings of the CSEE, 33, 1, pp. 22-29, (2013)
  • [9] Yang P., Nehorai A., Joint optimization of hybrid energy storage and generation capacity with renewable energy, IEEE Trans on Smart Grid, 5, 4, pp. 1566-1574, (2014)
  • [10] Lyu C., Li X., Hu L., Et al., A smoothing strategy for hybird energy storage system based on wavelet frequency allocation and two-level fuzzy control, Automation of Electric Power Systems, 39, 2, pp. 21-29, (2015)