COMPARATIVE ANALYSIS OF OPTIMIZATION ALGORITHMS FOR RESERVOIR OPERATIONS: A CASE STUDY ON UKAI DAM

A.F SHAIKH, Y.L. BHIRUD, S.B. MORE, A.D. PAWAR, O.V. VAIDYA

Abstract


Effective reservoir operation is critical for managing water resources in the face of rising demand and limited supply. This study investigates the use of the Jaya Algorithm (JA), Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO), to reduce irrigation deficits at the Ukai Dam on India's Tapi River. The algorithms were evaluated using a 45-year dataset that included irrigation deficiencies, convergence rates, and reliability and vulnerability indices. JA consistently outperformed PSO and IWO, demonstrating reduced deficiencies, faster convergence, and superior dependability. The work offers useful insights for improving reservoir operations in the context of water resource management, emphasizing the relevance of algorithm selection in producing robust and economical results.


Keywords


Jaya algorithm, Optimization, Irrigation, Reservoir operation

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