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Multi-Level Dependent-Chance Model for Hydropower Reservoir Operations

Author

Listed:
  • Xinyu Wu

    (Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China)

  • Xilong Cheng

    (Yunhe (Henan) Information Technology Co., Ltd., Zhengzhou 450008, China)

  • Meng Zhao

    (Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China)

  • Chuntian Cheng

    (Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China)

  • Qilin Ying

    (State Grid Luyuan Hydropower Company, Dandong 118000, China)

Abstract

Some hydropower reservoirs are operated under different constraint levels. For these reservoirs, a multi-level (ML) dependent-chance (DC) model is established. In the model, only when the higher-level constraints are satisfied are the lower-level constraints or system benefits considered. The multi-level dependent-chance (MLDC) model is specified by two models. One is based on existing reliability-constrained (RC) dynamic programming (DP), in which the soft constraints are addressed using reliability constraints of 1, and the priorities are reflected using the order of magnitudes of Lagrange multipliers. The other is the explicit dependent-chance reasoning in the DP recursive function, in which each soft constraint is represented as an objective function of negative expected failure time and the optimum is the solution with a larger value for all higher-level objective functions. The proposed models are applied to derive long-term operation rules for the hydropower system on the middle-lower Lancang River. The results show the feasibility and performances of the explicit graded constraint control of the proposed model and the solution methods.

Suggested Citation

  • Xinyu Wu & Xilong Cheng & Meng Zhao & Chuntian Cheng & Qilin Ying, 2022. "Multi-Level Dependent-Chance Model for Hydropower Reservoir Operations," Energies, MDPI, vol. 15(13), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4899-:d:855721
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    References listed on IDEAS

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    1. A. Tilmant & P. Fortemps & M. Vanclooster, 2002. "Effect of Averaging Operators in Fuzzy Optimization of Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(1), pages 1-22, February.
    2. Chang, Jianxia & Li, Yunyun & Yuan, Meng & Wang, Yimin, 2017. "Efficiency evaluation of hydropower station operation: A case study of Longyangxia station in the Yellow River, China," Energy, Elsevier, vol. 135(C), pages 23-31.
    3. Jianxia Chang & Yanbin Kan & Yimin Wang & Qiang Huang & Lei Chen, 2017. "Conjunctive Operation of Reservoirs and Ponds Using a Simulation-Optimization Model of Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 995-1012, February.
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