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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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    Cited by:

    1. 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.
    2. 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.
    3. Jaenam Lee & Hyungjin Shin, 2022. "Agricultural Reservoir Operation Strategy Considering Climate and Policy Changes," Sustainability, MDPI, vol. 14(15), pages 1-13, July.

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