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An Optimal Wavelet Packets Basis Method for Cascade Hydro-PV-Pumped Storage Generation Systems to Smooth Photovoltaic Power Fluctuations

Author

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  • Fan Wu

    (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China)

  • Jun Wang

    (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China)

  • Zhang Sun

    (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China)

  • Tao Wang

    (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China)

  • Lei Chen

    (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
    Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China)

  • Xiaoyan Han

    (State Grid Sichuan Electric Power Company, Chengdu 610041, China)

Abstract

Due to the volatility of natural resources, the power fluctuations of photovoltaic (PV) generation have serious negative impacts on the power quality. This paper reports a novel approach to resolve this problem in a combined cascade hydro-PV-pumped storage (CH-PV-PS) generation system through appropriate power distribution on a small time scale. According to the characteristics of power generation systems and multi-constraints, how to obtain the optimal smoothing effects with the small cost is a key challenge. For this purpose, wavelet packet decomposition is modified by constructing cost function and ideal power trajectory sequences to obtain a new adaptive power distribution method for the CH-PV-PS generation system considering the boundary conditions of the system in this paper. At the same time, to meet the real-time control requirements of actual systems, an additive function is presented to improve the optimization speed of the adaptive power distribution method. In the meantime, a fuzzy controller is designed to optimize the inevitable delay time of the power scheduling system, and the starting threshold is set to avoid the frequently mode conversion of pumped storage. Finally, the performance of the method is evaluated based on the PV station data in Xiaojin County, Sichuan Province, China. Simulation results based on Matlab-simulink indicate that the proposed method can effectively suppress PV power fluctuations and ensure normal operation of the CH-PV-PS generation system within the multiple constraints.

Suggested Citation

  • Fan Wu & Jun Wang & Zhang Sun & Tao Wang & Lei Chen & Xiaoyan Han, 2019. "An Optimal Wavelet Packets Basis Method for Cascade Hydro-PV-Pumped Storage Generation Systems to Smooth Photovoltaic Power Fluctuations," Energies, MDPI, vol. 12(24), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4642-:d:295025
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    References listed on IDEAS

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    1. Wei Ma & Wei Wang & Xuezhi Wu & Ruonan Hu & Fen Tang & Weige Zhang, 2019. "Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    2. Li, Zhengshuo & Guo, Qinglai & Sun, Hongbin & Wang, Jianhui, 2015. "Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method," Applied Energy, Elsevier, vol. 151(C), pages 13-22.
    3. Javier Marcos & Iñigo De la Parra & Miguel García & Luis Marroyo, 2014. "Control Strategies to Smooth Short-Term Power Fluctuations in Large Photovoltaic Plants Using Battery Storage Systems," Energies, MDPI, vol. 7(10), pages 1-27, October.
    4. Yang, Weijia & Yang, Jiandong, 2019. "Advantage of variable-speed pumped storage plants for mitigating wind power variations: Integrated modelling and performance assessment," Applied Energy, Elsevier, vol. 237(C), pages 720-732.
    5. Xiaojuan Han & Fang Chen & Xiwang Cui & Yong Li & Xiangjun Li, 2012. "A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology," Energies, MDPI, vol. 5(5), pages 1-20, May.
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    Cited by:

    1. Ma, Chao & Liu, Lu, 2022. "Optimal capacity configuration of hydro-wind-PV hybrid system and its coordinative operation rules considering the UHV transmission and reservoir operation requirements," Renewable Energy, Elsevier, vol. 198(C), pages 637-653.

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