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Multiobjective optimal operations for an interprovincial hydropower system considering peak-shaving demands

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  • Shen, Jianjian
  • Cheng, Chuntian
  • Wang, Sen
  • Yuan, Xiaoye
  • Sun, Lifei
  • Zhang, Jun

Abstract

Large-scale power transmission in China poses a challenge for the operation of an interprovincial hydropower system (IHS) connected by ultrahigh-voltage direct current (UHVDC) lines. This study develops a multiobjective optimization model for the monthly operation of an IHS considering daily peak-shaving demands. This model is first transformed into a sequence of single-objective subproblems with different peak-to-valley ratio constraints. A multiphase multigroup coordination strategy is proposed in which the plant group for each month is determined based on the hydrological seasons of the different rivers. A multidimensional search method is then utilized to optimize the monthly generation schedules, where the energy target for a typical day is proportional to the daily load share in each month. Finally, a load-reconstruction-based strategy is used to determine feasible hourly generation schedules and obtain the peak-to-valley ratios to evaluate the monthly operation schemes. The above model and method are applied to a real-world IHS related to the Xiluodu-Zhejiang UHVDC power transmission project. The obtained Pareto solutions reveal the interaction between the energy production and peak-shaving objectives and show a significant improvement in peak shaving with a small decrease in energy production. Moreover, in typical inflow scenarios, all operation schemes enhance the total energy generation from local hydropower plants while leaving that from Xiluodu almost unchanged compared with the conventional operation results.

Suggested Citation

  • Shen, Jianjian & Cheng, Chuntian & Wang, Sen & Yuan, Xiaoye & Sun, Lifei & Zhang, Jun, 2020. "Multiobjective optimal operations for an interprovincial hydropower system considering peak-shaving demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:rensus:v:120:y:2020:i:c:s136403211930824x
    DOI: 10.1016/j.rser.2019.109617
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    7. Wang, Peilin & Yuan, Wenlin & Su, Chengguo & Wu, Yang & Lu, Lu & Yan, Denghua & Wu, Zening, 2022. "Short-term optimal scheduling of cascade hydropower plants shaving peak load for multiple power grids," Renewable Energy, Elsevier, vol. 184(C), pages 68-79.
    8. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    9. Haojianxiong Yu & Jianjian Shen & Chuntian Cheng & Jia Lu & Huaxiang Cai, 2023. "Multi-Objective Optimal Long-Term Operation of Cascade Hydropower for Multi-Market Portfolio and Energy Stored at End of Year," Energies, MDPI, vol. 16(2), pages 1-21, January.
    10. Shen, Jian-jian & Cheng, Chun-tian & Jia, Ze-bin & Zhang, Yang & Lv, Quan & Cai, Hua-xiang & Wang, Bang-can & Xie, Meng-fei, 2022. "Impacts, challenges and suggestions of the electricity market for hydro-dominated power systems in China," Renewable Energy, Elsevier, vol. 187(C), pages 743-759.
    11. Ren, Xiaojun & Wu, Yongtang & Hao, Dongmin & Liu, Guoxu & Zafetti, Nicholas, 2021. "Analysis of the performance of the multi-objective hybrid hydropower-photovoltaic-wind system to reduce variance and maximum power generation by developed owl search algorithm," Energy, Elsevier, vol. 231(C).
    12. Rui Cao & Jianjian Shen & Chuntian Cheng & Jian Wang, 2020. "Optimization Model for the Long-Term Operation of an Interprovincial Hydropower Plant Incorporating Peak Shaving Demands," Energies, MDPI, vol. 13(18), pages 1-21, September.
    13. Mohammad Reza Sharifi & Saeid Akbarifard & Kourosh Qaderi & Mohamad Reza Madadi, 2021. "Developing MSA Algorithm by New Fitness-Distance-Balance Selection Method to Optimize Cascade Hydropower Reservoirs Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 385-406, January.
    14. Wang, Jin & Zhao, Zhipeng & Zhou, Jinglin & Cheng, Chuntian & Su, Huaying, 2024. "Developing operating rules for a hydro–wind–solar hybrid system considering peak-shaving demands," Applied Energy, Elsevier, vol. 360(C).

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