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Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output

Author

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  • Tran Thai Trung

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Seon-Ju Ahn

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Joon-Ho Choi

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Seok-Il Go

    (Department of Electrical Engineering, Chonnam National University, Gwangju 500-757, Korea)

  • Soon-Ryul Nam

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

Abstract

Since the penetration level of wind energy is continuously increasing, the negative impact caused by the fluctuation of wind power output needs to be carefully managed. This paper proposes a novel real-time coordinated control algorithm based on a wavelet transform to mitigate both short-term and long-term fluctuations by using a hybrid energy storage system (HESS). The short-term fluctuation is eliminated by using an electric double-layer capacitor (EDLC), while the wind-HESS system output is kept constant during each 10-min period by a Ni-MH battery (NB). State-of-charge ( SOC ) control strategies for both EDLC and NB are proposed to maintain the SOC level of storage within safe operating limits. A ramp rate limitation (RRL) requirement is also considered in the proposed algorithm. The effectiveness of the proposed algorithm has been tested by using real time simulation. The simulation model of the wind-HESS system is developed in the real-time digital simulator (RTDS)/RSCAD environment. The proposed algorithm is also implemented as a user defined model of the RSCAD. The simulation results demonstrate that the HESS with the proposed control algorithm can indeed assist in dealing with the variation of wind power generation. Moreover, the proposed method shows better performance in smoothing out the fluctuation and managing the SOC of battery and EDLC than the simple moving average (SMA) based method.

Suggested Citation

  • Tran Thai Trung & Seon-Ju Ahn & Joon-Ho Choi & Seok-Il Go & Soon-Ryul Nam, 2014. "Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output," Energies, MDPI, vol. 7(10), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:10:p:6620-6644:d:41227
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    References listed on IDEAS

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    1. Sekyung Han & Soohee Han, 2013. "Economic Feasibility of V2G Frequency Regulation in Consideration of Battery Wear," Energies, MDPI, vol. 6(2), pages 1-18, February.
    2. Noshin Omar & Mohamed Daowd & Omar Hegazy & Peter Van den Bossche & Thierry Coosemans & Joeri Van Mierlo, 2012. "Electrical Double-Layer Capacitors in Hybrid Topologies —Assessment and Evaluation of Their Performance," Energies, MDPI, vol. 5(11), pages 1-36, November.
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    Citations

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    Cited by:

    1. 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.
    2. Deyou Yang & Jiaxin Wen & Ka-wing Chan & Guowei Cai, 2016. "Dispatching of Wind/Battery Energy Storage Hybrid Systems Using Inner Point Method-Based Model Predictive Control," Energies, MDPI, vol. 9(8), pages 1-16, August.
    3. Jian Chen & Jiaqi Li & Yicheng Zhang & Guannan Bao & Xiaohui Ge & Peng Li, 2018. "A Hierarchical Optimal Operation Strategy of Hybrid Energy Storage System in Distribution Networks with High Photovoltaic Penetration," Energies, MDPI, vol. 11(2), pages 1-20, February.
    4. Andrea Mannelli & Francesco Papi & George Pechlivanoglou & Giovanni Ferrara & Alessandro Bianchini, 2021. "Discrete Wavelet Transform for the Real-Time Smoothing of Wind Turbine Power Using Li-Ion Batteries," Energies, MDPI, vol. 14(8), pages 1-32, April.
    5. Aliyu Hassan & Yskandar Hamam & Josiah L. Munda, 2019. "Minimizing the Impact of Intermittent Wind Power on Multiperiod Power System Operation with Pumped Hydro Generation," Energies, MDPI, vol. 12(18), pages 1-22, September.

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