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Strategy Design of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations

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  • Jingyu Liu

    (Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, School of Electrical Engineering, Shandong University, 17923 Jingshi Road, Jinan 250061, China)

  • Lei Zhang

    (94710 of The Chinese People’s Liberation Army, No. 1 Airport Branch Road, Wuxi 214000, China)

Abstract

With the increasing contribution of wind power plants, the reliability and security of modern power systems have become a huge challenge due to the uncertainty and intermittency of wind energy sources. In this paper, a hybrid energy storage system (HESS) consisting of battery and supercapacitor is built to smooth the power fluctuations of wind power. A power allocation strategy is proposed to give full play to the respective advantages of the two energy storage components. In the proposed strategy, the low-frequency and high-frequency components of wind power fluctuations are absorbed by battery groups and supercapacitor groups, respectively. By inhibiting the low-frequency components of supercapacitor current, the times of charging-discharging of battery groups can be significantly reduced. A DC/AC converter is applied to achieve the power exchange between the HESS and the grid. Adjustment rules for regulating state-of-charge (SOC) of energy storage elements are designed to avoid overcharge and deep discharge considering the safety and the high efficiency of the energy storage elements. Experimental results on the test platform verify the effectiveness of the proposed power allocation strategy in DC/AC converter and battery SOC adjustment rules for regulating SOC levels.

Suggested Citation

  • Jingyu Liu & Lei Zhang, 2016. "Strategy Design of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations," Energies, MDPI, vol. 9(12), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:991-:d:83791
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    References listed on IDEAS

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    1. Dincer, Ibrahim, 2000. "Renewable energy and sustainable development: a crucial review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 4(2), pages 157-175, June.
    2. Liao, Cuiping & Jochem, Eberhard & Zhang, Yi & Farid, Nida R., 2010. "Wind power development and policies in China," Renewable Energy, Elsevier, vol. 35(9), pages 1879-1886.
    3. Calif, Rudy & Schmitt, François G. & Huang, Yongxiang, 2013. "Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4106-4120.
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    Citations

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    Cited by:

    1. Yi Tang & Jianfeng Dai & Qi Wang & Yixin Feng, 2017. "Frequency Control Strategy for Black Starts via PMSG-Based Wind Power Generation," Energies, MDPI, vol. 10(3), pages 1-14, March.
    2. Gustavo Navarro & Jorge Torres & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications," Energies, MDPI, vol. 14(11), pages 1-29, May.
    3. Xiao Han & Ming Zhou & Gengyin Li & Kwang Y. Lee, 2017. "Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium," Energies, MDPI, vol. 10(12), pages 1-17, December.
    4. Pingping Yun & Yongfeng Ren & Yu Xue, 2018. "Energy-Storage Optimization Strategy for Reducing Wind Power Fluctuation via Markov Prediction and PSO Method," Energies, MDPI, vol. 11(12), pages 1-23, December.
    5. Lujun Wang & Jiong Guo & Chen Xu & Tiezhou Wu & Huipin Lin, 2019. "Hybrid Model Predictive Control Strategy of Supercapacitor Energy Storage System Based on Double Active Bridge," Energies, MDPI, vol. 12(11), pages 1-20, June.
    6. Tiezhou Wu & Xiao Shi & Li Liao & Chuanjian Zhou & Hang Zhou & Yuehong Su, 2019. "A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization," Energies, MDPI, vol. 12(4), pages 1-11, February.
    7. Hong Qu & Ze Ye, 2023. "Comparison of Dynamic Response Characteristics of Typical Energy Storage Technologies for Suppressing Wind Power Fluctuation," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    8. Xingning Han & Shiwu Liao & Xiaomeng Ai & Wei Yao & Jinyu Wen, 2017. "Determining the Minimal Power Capacity of Energy Storage to Accommodate Renewable Generation," Energies, MDPI, vol. 10(4), pages 1-17, April.
    9. Maria Guadalupe Reveles-Miranda & Manuel Israel Flota-Bañuelos & Freddy Chan-Puc & Daniella Pacheco-Catalán, 2017. "Experimental Evaluation of a Switching Matrix Applied in a Bank of Supercapacitors," Energies, MDPI, vol. 10(12), pages 1-12, December.
    10. Cheng-Shan Wang & Wei Li & Yi-Feng Wang & Fu-Qiang Han & Zhun Meng & Guo-Dong Li, 2017. "An Isolated Three-Port Bidirectional DC-DC Converter with Enlarged ZVS Region for HESS Applications in DC Microgrids," Energies, MDPI, vol. 10(4), pages 1-23, April.
    11. Ramy Georgious & Jorge Garcia & Pablo Garcia & Angel Navarro-Rodriguez, 2018. "A Comparison of Non-Isolated High-Gain Three-Port Converters for Hybrid Energy Storage Systems," Energies, MDPI, vol. 11(3), pages 1-24, March.

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