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Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi-Step Ahead Time-Varying Hedging Rule

Author

Listed:
  • Soe Thiha

    (University of Auckland)

  • Asaad Y. Shamseldin

    (University of Auckland)

  • Bruce W. Melville

    (University of Auckland)

Abstract

This paper aims to improve summer power generation of the Yeywa Hydropower Reservoir in Myanmar using the modified multi-step ahead time-varying hedging (TVH) rule as a case study. The results of the TVH rules were compared with the standard operation policy (SOP) rule, the binary standard operation policy (BSOP) rule, the discrete hedging (DH) rule, the standard hedging (SH) rule, the one-point hedging (OPH) rule, and the two-point hedging (TPH) rule. The Multi-Objective Genetic Algorithm (MOGA) was utilized to drive the optimal Pareto fronts for the hedging rules. The results demonstrated that the TVH rules had higher performance than the other rules and showed improvements in power generation not only during the summer period but also over the entire period.

Suggested Citation

  • Soe Thiha & Asaad Y. Shamseldin & Bruce W. Melville, 2022. "Improving the Summer Power Generation of a Hydropower Reservoir Using the Modified Multi-Step Ahead Time-Varying Hedging Rule," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 853-873, February.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:3:d:10.1007_s11269-021-03043-7
    DOI: 10.1007/s11269-021-03043-7
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    References listed on IDEAS

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    1. Aida Tayebiyan & Thamer Ahmed Mohammed Ali & Abdul Halim Ghazali & M. A. Malek, 2016. "Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1203-1216, February.
    2. Youngkyu Jin & Sangho Lee, 2019. "Comparative Effectiveness of Reservoir Operation Applying Hedging Rules Based on Available Water and Beginning Storage to Cope with Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1897-1911, March.
    3. K. Srinivasan & M. Philipose, 1998. "Effect of Hedging on Over-Year Reservoir Performance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 12(2), pages 95-120, April.
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    Cited by:

    1. Wang, Huan & Liao, Shengli & Liu, Benxi & Zhao, Hongye & Ma, Xiangyu & Zhou, Binbin, 2024. "Long-term complementary scheduling model of hydro-wind-solar under extreme drought weather conditions using an improved time-varying hedging rule," Energy, Elsevier, vol. 305(C).
    2. Rahim Zahedi & Reza Eskandarpanah & Mohammadhossein Akbari & Nima Rezaei & Paniz Mazloumin & Omid Noudeh Farahani, 2022. "Development of a New Simulation Model for the Reservoir Hydropower Generation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2241-2256, May.

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