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Optimization of Reservoir System Operation using Fuzzy Set Theory

International Journal of Civil Engineering
© 2023 by SSRG - IJCE Journal
Volume 10 Issue 6
Year of Publication : 2023
Authors : Sumant A. Choudhari, D. G. Regulwar, P. Anand Raj
10.14445/23488352/IJCE-V10I6P105
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How to Cite?

Sumant A. Choudhari, D. G. Regulwar, P. Anand Raj, "Optimization of Reservoir System Operation using Fuzzy Set Theory," SSRG International Journal of Civil Engineering, vol. 10,  no. 6, pp. 46-53, 2023. Crossref, https://doi.org/10.14445/23488352/IJCE-V10I6P105

Abstract:

This study demonstrates running a complicated multi-reservoir system with numerous goals. The multi-reservoir system heavily incorporates demand and input uncertainties. Fuzzy set theory, which is a robust theory, is significantly impacted by this uncertainty. The fuzzy linear programming method is utilized in this study to find the best course of action for the system’s functioning when there is uncertainty in various parameters, including the availability of resources, technological advancements, and objective function coefficients. As a case study, a composite parallel and series four reservoir system are chosen, and the system is tested with the fuzzification objective function. The effects on the goals, such as maximizing irrigation release and maximizing power release returns, are also examined. The operational guidelines that resulted from this process improve comprehension of the issue, its numerous complexity, and repercussions. This gives policymakers (decision makers) a variety of possibilities for their elimination of taking appropriate action.

Keywords:

Fuzzy set theory, Optimization, Linear programming, Reservoir operation.

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