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Research on Day-Ahead Optimal Scheduling of Wind–PV–Thermal–Pumped Storage Based on the Improved Multi-Objective Jellyfish Search Algorithm

Author

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  • Yunfei Hu

    (School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China)

  • Kefei Zhang

    (School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China)

  • Sheng Liu

    (School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China)

  • Zhong Wang

    (School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
    Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China)

Abstract

As the share of renewable energy in modern power systems continues to grow, its inherent uncertainty and variability pose severe challenges to grid stability and the accuracy of traditional thermal power dispatch. To address this issue, this study fully exploits the fast response and flexible operation of variable-speed pumped storage (VS-PS) by developing a day-ahead scheduling model for a wind–photovoltaic–thermal–VS-PS system. The optimization model aims to minimize system operating costs, carbon emissions, and thermal power output fluctuations, while maximizing the regulation flexibility of the VS-PS plant. It is assessed using the improved multi-objective jellyfish search (IMOJS) algorithm, and its effectiveness is demonstrated through comparison with a fixed-speed pumped storage (FS-PS) system. Simulation results show that the proposed model significantly outperforms the traditional FS-PS system: it increases renewable energy accommodation capacity by an average of 68.51%, reduces total operating costs by 14.13%, and lowers carbon emissions by 3.63%.

Suggested Citation

  • Yunfei Hu & Kefei Zhang & Sheng Liu & Zhong Wang, 2025. "Research on Day-Ahead Optimal Scheduling of Wind–PV–Thermal–Pumped Storage Based on the Improved Multi-Objective Jellyfish Search Algorithm," Energies, MDPI, vol. 18(9), pages 1-38, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2308-:d:1647065
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    References listed on IDEAS

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    1. Liu, Jia & Ma, Tao & Wu, Huijun & Yang, Hongxing, 2023. "Study on optimum energy fuel mix for urban cities integrated with pumped hydro storage and green vehicles," Applied Energy, Elsevier, vol. 331(C).
    2. Connolly, D. & Lund, H. & Mathiesen, B.V. & Pican, E. & Leahy, M., 2012. "The technical and economic implications of integrating fluctuating renewable energy using energy storage," Renewable Energy, Elsevier, vol. 43(C), pages 47-60.
    3. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Optimal design of an autonomous solar–wind-pumped storage power supply system," Applied Energy, Elsevier, vol. 160(C), pages 728-736.
    4. Yan Yang & Qingyu Wei & Shanke Liu & Liang Zhao, 2022. "Distribution Strategy Optimization of Standalone Hybrid WT/PV System Based on Different Solar and Wind Resources for Rural Applications," Energies, MDPI, vol. 15(14), pages 1-21, July.
    5. Lyu, Xiangmei & Liu, Tianqi & Liu, Xuan & He, Chuan & Nan, Lu & Zeng, Hong, 2023. "Low-carbon robust economic dispatch of park-level integrated energy system considering price-based demand response and vehicle-to-grid," Energy, Elsevier, vol. 263(PB).
    6. Peiyu Zhao & Haipeng Nan & Qingsen Cai & Chunyang Gao & Luochang Wu, 2024. "A Data-Driven Predictive Control Method for Modeling Doubly-Fed Variable-Speed Pumped Storage Units," Energies, MDPI, vol. 17(19), pages 1-20, September.
    7. Ali M. Eltamaly, 2021. "A Novel Strategy for Optimal PSO Control Parameters Determination for PV Energy Systems," Sustainability, MDPI, vol. 13(2), pages 1-28, January.
    8. Shyam, B. & Kanakasabapathy, P., 2022. "Feasibility of floating solar PV integrated pumped storage system for a grid-connected microgrid under static time of day tariff environment: A case study from India," Renewable Energy, Elsevier, vol. 192(C), pages 200-215.
    9. Zhao, Ziwen & Yuan, Yichen & He, Mengjiao & Jurasz, Jakub & Wang, Jianan & Egusquiza, Mònica & Egusquiza, Eduard & Xu, Beibei & Chen, Diyi, 2022. "Stability and efficiency performance of pumped hydro energy storage system for higher flexibility," Renewable Energy, Elsevier, vol. 199(C), pages 1482-1494.
    10. Kocaman, Ayse Selin & Modi, Vijay, 2017. "Value of pumped hydro storage in a hybrid energy generation and allocation system," Applied Energy, Elsevier, vol. 205(C), pages 1202-1215.
    11. Ren, Yan & Sun, Ketao & Zhang, Kai & Han, Yuping & Zhang, Haonan & Wang, Meijing & Jing, Xiang & Mo, Juhua & Zou, Wenhang & Xing, Xinyang, 2024. "Optimization of the capacity configuration of an abandoned mine pumped storage/wind/photovoltaic integrated system," Applied Energy, Elsevier, vol. 374(C).
    12. Patwal, Rituraj Singh & Narang, Nitin, 2020. "Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach," Renewable Energy, Elsevier, vol. 156(C), pages 864-882.
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