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Multi-Objective Short-Term Optimal Dispatching of Cascade Hydro–Wind–Solar–Thermal Hybrid Generation System with Pumped Storage Hydropower

Author

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  • Jie Li

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Linjun Shi

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Hao Fu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

Abstract

Aiming to mitigate the impact of power fluctuation caused by large-scale renewable energy integration, coupled with a high rate of wind and solar power abandonment, the multi-objective optimal dispatching of a cascade hydro–wind–solar–thermal hybrid generation system with pumped storage hydropower (PSH) is proposed in this paper. Based on the proposed system, the scheduling operation strategy takes into account the complex restrictions of cascade hydropower as well as the flexibility of the PSH. According to various scenarios, the NSGA-II approach is adopted to address the optimization problem, minimizing the system’s residual load variation and operation cost. The Pareto solution sets are contrasted and evaluated, applying the TOPSIS with CRITIC weighting. Additionally, the scheduling output of thermal power, cascade hydropower, and PSH is given in terms of different scenarios. The results demonstrate that the allocation of PSH to a hybrid energy system can significantly reduce the operation cost and the fluctuation in the residual load.

Suggested Citation

  • Jie Li & Linjun Shi & Hao Fu, 2023. "Multi-Objective Short-Term Optimal Dispatching of Cascade Hydro–Wind–Solar–Thermal Hybrid Generation System with Pumped Storage Hydropower," Energies, MDPI, vol. 17(1), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:98-:d:1306309
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    References listed on IDEAS

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    2. Gupta, Akshita & Kumar, Arun & Khatod, Dheeraj Kumar, 2019. "Optimized scheduling of hydropower with increase in solar and wind installations," Energy, Elsevier, vol. 183(C), pages 716-732.
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    4. Xianxun Wang & Yadong Mei & Hao Cai & Xiangyu Cong, 2016. "A New Fluctuation Index: Characteristics and Application to Hydro-Wind Systems," Energies, MDPI, vol. 9(2), pages 1-17, February.
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