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Application of Harris Hawks Optimization with Reservoir Simulation Model Considering Hedging Rule for Network Reservoir System

Author

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  • Rapeepat Techarungruengsakul

    (Faculty of Engineering, Mahasarakham University, Kantharawichai District, Maha Sarakham 44150, Thailand)

  • Anongrit Kangrang

    (Faculty of Engineering, Mahasarakham University, Kantharawichai District, Maha Sarakham 44150, Thailand)

Abstract

This research aims to apply the Harris hawks optimization (HHO) technique connected with a reservoir simulation model to search optimal rule curves of the network reservoir system in Thailand. The downstream water demand from the network reservoir that required shared water discharge, hydrological data, and physical data were considered in the reservoir simulation model. A comparison of the situation of water shortage using optimal rule curves from HHO technique, genetic algorithm (GA), and wind-driven optimization (WDO) is presented. The results showed that the new rule curves derived from the HHO technique with network reservoir searching were able to alleviate the water shortage and over-flow situations better than the current rule curves. The efficiency of using rule curves from HHO technique compared to GA and WDO techniques showed that the HHO technique can provide a better solution that reduced water scarcity and average over-flow compared with the current rule curves by up to 4.80%, 4.70%, and 4.50%, respectively. In addition, HHO was efficient in converging rule curve solutions faster than GA and WDO techniques by 15.00% and 54.00%, respectively. In conclusion, the HHO technique can be used to search for optimal network reservoir rule curves solutions effectively.

Suggested Citation

  • Rapeepat Techarungruengsakul & Anongrit Kangrang, 2022. "Application of Harris Hawks Optimization with Reservoir Simulation Model Considering Hedging Rule for Network Reservoir System," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4913-:d:797329
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    1. Iver Bakken Sperstad & Magnus Korpås, 2019. "Energy Storage Scheduling in Distribution Systems Considering Wind and Photovoltaic Generation Uncertainties," Energies, MDPI, vol. 12(7), pages 1-24, March.
    2. Javad Jamshidi & Mojtaba Shourian, 2019. "Hedging Rules-Based Optimal Reservoir Operation Using Bat Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4525-4538, October.
    3. Rebecca Peters & Jürgen Berlekamp & Ana Lucía & Vittoria Stefani & Klement Tockner & Christiane Zarfl, 2021. "Integrated Impact Assessment for Sustainable Hydropower Planning in the Vjosa Catchment (Greece, Albania)," Sustainability, MDPI, vol. 13(3), pages 1-18, February.
    4. Qiang Wang & Wei Ding & Yan Wang, 2018. "Optimization of Multi-Reservoir Operating Rules for a Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4543-4559, November.
    5. Xuxu Zhong & Meijun Duan & Xiao Zhang & Peng Cheng, 2021. "A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-24, April.
    6. Milan Daus & Katharina Koberger & Kaan Koca & Felix Beckers & Jorge Encinas Fernández & Barbara Weisbrod & Daniel Dietrich & Sabine Ulrike Gerbersdorf & Rüdiger Glaser & Stefan Haun & Hilmar Hofmann &, 2021. "Interdisciplinary Reservoir Management—A Tool for Sustainable Water Resources Management," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    7. Wenhua Wan & Jianshi Zhao & Jiabiao Wang, 2019. "Revisiting Water Supply Rule Curves with Hedging Theory for Climate Change Adaptation," Sustainability, MDPI, vol. 11(7), pages 1-21, March.
    8. Seyed Mohammad Ashrafi & Alireza Borhani Dariane, 2017. "Coupled Operating Rules for Optimal Operation of Multi-Reservoir Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4505-4520, November.
    9. Nejc Bezak & Martina Kovačević & Gregor Johnen & Klaudija Lebar & Vesna Zupanc & Andrej Vidmar & Simon Rusjan, 2021. "Exploring Options for Flood Risk Management with Special Focus on Retention Reservoirs," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    10. Xiao Zhang & Xiaomin Chen & Wanshun Zhang & Hong Peng & Gaohong Xu & Yanxin Zhao & Zhenling Shen, 2022. "Impact of Land Use Changes on the Surface Runoff and Nutrient Load in the Three Gorges Reservoir Area, China," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    11. E. Fallah-Mehdipour & O. Bozorg Haddad & M. Mariño, 2012. "Real-Time Operation of Reservoir System by Genetic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4091-4103, November.
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    Cited by:

    1. Songphol Songsaengrit & Anongrit Kangrang, 2022. "Dynamic Rule Curves and Streamflow under Climate Change for Multipurpose Reservoir Operation Using Honey-Bee Mating Optimization," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    2. Jaenam Lee & Hyungjin Shin, 2022. "Agricultural Reservoir Operation Strategy Considering Climate and Policy Changes," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    3. Suwapat Kosasaeng & Nirat Yamoat & Seyed Mohammad Ashrafi & Anongrit Kangrang, 2022. "Extracting Optimal Operation Rule Curves of Multi-Reservoir System Using Atom Search Optimization, Genetic Programming and Wind Driven Optimization," Sustainability, MDPI, vol. 14(23), pages 1-14, December.

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