Improving reservoir operation efficiency using electric eel foraging optimization and transit search algorithms with standard operating policy: nong han-kumphawapi case study

Phumphat Wongarmart; Angkarawat Kaewhanat; Anujit Phumiphan; Suwapat Kosasaeng; Ounla Sivanpheng; Anongrit Kangrang

Author(s)

Phumphat Wongarmart Faculty of Engineering, Mahasarakham University,Kantarawichai Distrct, Mahasarakham,Thailand

Angkarawat Kaewhanat Faculty of Engineering, Mahasarakham University,Kantarawichai Distrct, Mahasarakham,Thailand

Anujit Phumiphan School of Engineering, University of Phayao,Mueang Phayao District, Phayao,Thailand

Suwapat Kosasaeng Water Management and Maintenance Division,Regional Irrigation Office, Udonthan,Thailand

Ounla Sivanpheng Faculty of Water Resources, National University of Laos,Vientian,Laos PDR

Anongrit Kangrang Faculty of Engineering, Mahasarakham University,Kantarawichai Distrct, Mahasarakham,Thailand

Abstract

This study proposes a new optimization method to improve the operational efficiency of reservoir systems by applying the Electric Eel Foraging Optimization (EEFO) and Transit Search Optimization (TSO) techniques. The optimization was conducted in the Nong Han-Kumphawapi reservoir system, located in the Udon Thani province of Thailand. The objective was to determine optimal rule curves for the reservoir's operation, specifically focusing on mitigating both water shortage and excess water release situations. The proposed model was evaluated using historic inflow data from 2006 to 2021 and synthetic data for 500 samples. The findings revealed that the EEFO technique could minimize average annual water shortages to 4.349 MCM/year, while the frequency of water shortage events was reduced to 0.496 times per year. For excess water management, the EEFO-derived rule curves limited the average annual excess water release to 132.056 MCM/year. Comparatively, the TSO model produced similar performance, demonstrating a high degree of consistency in reducing both water shortage and excess water release risks. The results suggest that these optimization techniques can effectively enhance the reliability and performance of reservoir operations, providing valuable insights for sustainable water resource management in the region.

Publication Details

Page(s) 300-313

DOI DOI not available

Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 20, Issue: 6, Year: 2025

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Keywords

reservoir operation, transit search optimization, electric eel foraging optimization, reservoir rule curves, standard operating policy

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