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Application of Harmony Search Algorithm for Improvement of Reservoir Rule Curves Under Dynamic Data of Water Requirements


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DOI: https://doi.org/10.15866/irece.v14i3.22827

Abstract


This research has applied the Harmony Search Algorithm with reservoir simulation model for improving rule curves of a reservoir under dynamic data of evaporation, water supply and effective rainfall. The case study reservoirs have been Kaeng Loeng Chan reservoir, Mahasarakham province, Huay Sabag and Huay Lingjone reservoir, Yasothon province, Thailand. The newly obtained rule curves have evaluated the efficiency by reservoir operation by considering synthetic inflow data of 100 years for 500 samples as well as comparison with the obtained rule curves of Genetic Algorithm and existing rule curves. The results have displayed situations of water shortage and excess water in terms of frequency, duration time, average water and the highest water. The results have showed that the dynamic data of evaporation of each reservoir has depended on air temperatures, which have been different from the constant ones. The dynamic water supply has been estimated from dynamic population and it has differed from the constant data of average values. However, the dynamic effective rainfall has been more or less than the constant ones. The new obtained rule curves from the Harmony Search Algorithm have been close to the rule curves of the Genetic Algorithm and had higher efficiency than the existing rule curves in both considering constant data and dynamic data cases. In addition, the obtained rule curves using dynamic data have been more suitable and more efficient than the obtained rule curves using the constant data in searching procedure.
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Keywords


Evaporation; Water Supply; Effective Rainfall; Reservoir Rule Curves; Harmony Search Algorithm; Genetic Algorithm

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References


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