Optimal operation of reservoir systems using the Wolf Search Algorithm (WSA)

Ahmadebrahimpour, Edris

doi:10.2166/ws.2019.005

Edris Ahmadebrahimpour

1Young Researchers and Elite Club, Sardasht Branch, Islamic Azad University, Sardasht, Iran and Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran

E-mail: ed.ebrahimpour@sardashtiau.ac.ir

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Water Supply (2019) 19 (5): 1396–1404.

https://doi.org/10.2166/ws.2019.005

Abstract

Optimizing hydropower plants is complex due to nonlinearity, complexity, and multidimensionality. This study introduces and evaluates the performance of the Wolf Search Algorithm (WSA) for optimizing the operation of a four-reservoir system and a single hydropower system in Iran. Results indicate WSA could reach 99.95 and 99.91 percent of the global optimum for the four-reservoir system and single reservoir system, respectively. Comparing the results of WSA with a genetic algorithm (GA) also indicates WSA's supremacy over GA. Thus, due to its simple structure and high capability, WSA is recommended for use in other water resources management problems.

four-reservoir system, Karun-4, metaheuristics algorithms, reservoir operation optimization, Wolf Search Algorithm (WSA)

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Optimal operation of reservoir systems using the Wolf Search Algorithm (WSA)

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