IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p4913-d797329.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/4913/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/9/4913/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    2. Mohammad Ehteram & Hojat Karami & Saeed Farzin, 2018. "Reducing Irrigation Deficiencies Based Optimizing Model for Multi-Reservoir Systems Utilizing Spider Monkey Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2315-2334, May.
    3. Yi Liu & Zhiqiang Jiang & Zhongkai Feng & Yuyun Chen & Hairong Zhang & Ping Chen, 2019. "Optimization of Energy Storage Operation Chart of Cascade Reservoirs with Multi-Year Regulating Reservoir," Energies, MDPI, vol. 12(20), pages 1-20, October.
    4. Ali Danandeh Mehr & Vahid Nourani, 2018. "Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2665-2679, June.
    5. Beshavard, Mahdi & Adib, Arash & Ashrafi, Seyed Mohammad & Kisi, Ozgur, 2022. "Establishing effective warning storage to derive optimal reservoir operation policy based on the drought condition," Agricultural Water Management, Elsevier, vol. 274(C).
    6. 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.
    7. Nak Heon Choi & Diego del Olmo & Diego Milian & Nadia El Kissi & Peter Fischer & Karsten Pinkwart & Jens Tübke, 2020. "Use of Carbon Additives towards Rechargeable Zinc Slurry Air Flow Batteries," Energies, MDPI, vol. 13(17), pages 1-12, August.
    8. Mohammad Solgi & Omid Bozorg-Haddad & Hugo A. Loáiciga, 2017. "The Enhanced Honey-Bee Mating Optimization Algorithm for Water Resources Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 885-901, February.
    9. Guiyuan Li & Guo Cheng & Zhenying Wu, 2022. "Resilience Assessment of Urban Complex Giant Systems in Hubei Section of the Three Gorges Reservoir Area Based on Multi-Source Data," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    10. Xia, Yuanxing & Xu, Qingshan & Tao, Siyu & Du, Pengwei & Ding, Yixing & Fang, Jicheng, 2022. "Preserving operation privacy of peer-to-peer energy transaction based on Enhanced Benders Decomposition considering uncertainty of renewable energy generations," Energy, Elsevier, vol. 250(C).
    11. Lang Zhao & Yuan Zeng & Zhidong Wang & Yizheng Li & Dong Peng & Yao Wang & Xueying Wang, 2023. "Robust Optimal Scheduling of Integrated Energy Systems Considering the Uncertainty of Power Supply and Load in the Power Market," Energies, MDPI, vol. 16(14), pages 1-14, July.
    12. Jenq-Tzong Shiau & Hsu-Hui Wen & I-Wen Su, 2021. "Comparing Optimal Hedging Policies Incorporating Past Operation Information and Future Hydrologic Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2177-2196, May.
    13. Mark Brian Dastas & Hwachang Song, 2019. "Renewable Energy Generation Assessment in Terms of Small-Signal Stability," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    14. Daniel Che & Larry Mays, 2015. "Development of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3987-4005, September.
    15. Mbungu, Nsilulu T. & Bansal, Ramesh C. & Naidoo, Raj M. & Bettayeb, Maamar & Siti, Mukwanga W. & Bipath, Minnesh, 2020. "A dynamic energy management system using smart metering," Applied Energy, Elsevier, vol. 280(C).
    16. Mandisi Gwabavu & Atanda Raji, 2021. "Dynamic Control of Integrated Wind Farm Battery Energy Storage Systems for Grid Connection," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    17. Y. Bolouri-Yazdeli & O. Bozorg Haddad & E. Fallah-Mehdipour & M. Mariño, 2014. "Evaluation of Real-Time Operation Rules in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 715-729, February.
    18. Vijendra Kumar & S. M. Yadav, 2018. "Optimization of Reservoir Operation with a New Approach in Evolutionary Computation Using TLBO Algorithm and Jaya Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4375-4391, October.
    19. Omid Bozorg Haddad & Farzan Hamedi & Hosein Orouji & Maryam Pazoki & Hugo Loáiciga, 2015. "A Re-Parameterized and Improved Nonlinear Muskingum Model for Flood Routing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3419-3440, July.
    20. Arvin Samadi-koucheksaraee & Iman Ahmadianfar & Omid Bozorg-Haddad & Seyed Amin Asghari-pari, 2019. "Gradient Evolution Optimization Algorithm to Optimize Reservoir Operation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 603-625, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4913-:d:797329. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.