Comparison performances of the optimisation models for the multi-objectives reservoir
by Nurul Nadrah Aqilah Tukimat; Sobri Harun
International Journal of Environmental Engineering (IJEE), Vol. 10, No. 3, 2020

Abstract: The reservoir systems require a continuous development tools in the optimal operation for a sustainable and long-term reservoir system planning and management. Insufficient water supply from the reservoir especially during dry season could affect the paddy production, consumers and industrial needs. Thus, the aims of this study is to optimise the water releases from the Pedu-Muda reservoirs and at the same time to maximise the water storage for other purposes. The optimisation model that been used comprises the non-dominated sorting genetic algorithm type II (NSGA-II) and linear programming (LP) to optimise multi-objectives reservoirs. These comparison performances were evaluated by reliability, resiliency, and vulnerability indices. Results revealed both models were capable to provide sufficient water for the irrigation demand without shortage. Unlike LP, NSGA-II was also successfully to maximise the water storage for another purposes. It provided a set of alternative solutions that were presented in the Pareto optimal curves depending on the climatic pattern. The finding was also supported by the reliability (91.7% excessive water and 8.3% meet the demand), resiliency (100%), and vulnerability (null) indices which better than the LP performances.

Online publication date: Thu, 28-May-2020

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