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A Multi-Objective Optimization Method of Sustainable Wind–Photovoltaic–Hydro Systems Considering Source–Grid Coordination

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  • Qin Shen

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Li Mo

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zixuan Liu

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Xutong Sun

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Guanjun Liu

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yongchuan Zhang

    (School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Hydropower compensating for wind and solar power is an efficient approach to overcoming challenges in the integration of sustainable energy. Our study proposes a multi-objective scheduling model for the complementary operation of wind–photovoltaic–hydro systems. The model aims to maximize the total generation while minimizing the mean square deviation of the system output and grid load. Taking wind and solar bases and key peak-shaving cascade hydropower stations in Hubei Province as a case study, various multi-objective Pareto solution sets were obtained for different scheduling periods. The analysis dissects the relationship between total generation and the stability of residual load after adjustment by the wind–photovoltaic–hydro systems. Furthermore, the study analyzes the role that a complementary system should play in the power grid and discusses the effect of cascade hydropower scheduling methods on the operational characteristics of multi-energy complementary systems.

Suggested Citation

  • Qin Shen & Li Mo & Zixuan Liu & Xutong Sun & Guanjun Liu & Yongchuan Zhang, 2023. "A Multi-Objective Optimization Method of Sustainable Wind–Photovoltaic–Hydro Systems Considering Source–Grid Coordination," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:61-:d:1304021
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    References listed on IDEAS

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    1. Tan, Qiaofeng & Wen, Xin & Sun, Yuanliang & Lei, Xiaohui & Wang, Zhenni & Qin, Guanghua, 2021. "Evaluation of the risk and benefit of the complementary operation of the large wind-photovoltaic-hydropower system considering forecast uncertainty," Applied Energy, Elsevier, vol. 285(C).
    2. Wei, Hu & Hongxuan, Zhang & Yu, Dong & Yiting, Wang & Ling, Dong & Ming, Xiao, 2019. "Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks," Applied Energy, Elsevier, vol. 250(C), pages 389-403.
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