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Robust Optimization of Large-Scale Wind–Solar Storage Renewable Energy Systems Considering Hybrid Storage Multi-Energy Synergy

Author

Listed:
  • Bin Xiao

    (Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China)

  • Zhenxin Gao

    (Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China
    School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Huaiwu Peng

    (Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China)

  • Kang Chen

    (Northwest Engineering Corporation Limited, PowerChina, Xi’an 710065, China)

  • Yang Li

    (School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Kun Liu

    (School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

With the rapid integration of renewable energy sources, such as wind and solar, multiple types of energy storage technologies have been widely used to improve renewable energy generation and promote the development of sustainable energy systems. Energy storage can provide fast response and regulation capabilities, but multiple types of energy storage involve different energy conversion relationships. How to fully utilize the advantages of multiple energy storage and coordinate the multi-energy complementarity of multiple energy storage is the key to maintaining a stable operation of the power system. To this end, this paper proposes a robust optimization method for large-scale wind–solar storage systems considering hybrid storage multi-energy synergy. Firstly, the robust operation model of large-scale wind–solar storage systems considering hybrid energy storage is built. Secondly, the column constraint generation (CCG) algorithm is adopted to transform the original problem into a two-stage master problem and sub-problem for solving to obtain the optimal strategy of system operation with robustness. Finally, the validity of the proposed method is verified through case tests. The results show that the proposed method can effectively coordinate the multi-energy complementary and coordinated operation of multiple hybrid energy storage, and the obtained operation strategy of large-scale wind–solar storage systems can well balance the economy and robustness of the system.

Suggested Citation

  • Bin Xiao & Zhenxin Gao & Huaiwu Peng & Kang Chen & Yang Li & Kun Liu, 2023. "Robust Optimization of Large-Scale Wind–Solar Storage Renewable Energy Systems Considering Hybrid Storage Multi-Energy Synergy," Sustainability, MDPI, vol. 16(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:243-:d:1308321
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    References listed on IDEAS

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    1. Dong, Xiangxiang & Wu, Jiang & Xu, Zhanbo & Liu, Kun & Guan, Xiaohong, 2022. "Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage," Applied Energy, Elsevier, vol. 308(C).
    2. Shaima A. Alnaqbi & Shamma Alasad & Haya Aljaghoub & Abdul Hai Alami & Mohammad Ali Abdelkareem & Abdul Ghani Olabi, 2022. "Applicability of Hydropower Generation and Pumped Hydro Energy Storage in the Middle East and North Africa," Energies, MDPI, vol. 15(7), pages 1-27, March.
    3. Javed, Muhammad Shahzad & Zhong, Dan & Ma, Tao & Song, Aotian & Ahmed, Salman, 2020. "Hybrid pumped hydro and battery storage for renewable energy based power supply system," Applied Energy, Elsevier, vol. 257(C).
    4. Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
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