Abstract
This paper includes an application of Differential Evolution (DE) for the optimal operation of multipurpose reservoir. The objective of the study is to maximize the hydropower production. The constraints for the optimization problem are reservoir capacity, turbine release capacity constraints, irrigation supply demand constraints and storage continuity. For initializing population, the upper and lower bounds of decision variables are fixed. The fitness of each vector is evaluated. The mutation and recombination is performed. The control parameters, i.e., population size, crossover constant and the weight are fixed according to their fitness value. This procedure is performed for the ten different strategies of DE. Sensitivity analysis performed for ten strategies of DE suggested that, De/best/1/bin is the best strategy which gives optimal solution. The DE algorithm application is presented through Jayakwadi project stage-I, Maharashtra State, India. Genetic algorithm is utilized as a comparative approach to assess the ability of DE. The results of GA and ten DE strategies for the given parameters indicated that both the results are comparable. The model is run for dependable inflows. Monthly maximized hydropower production and irrigation releases are presented. These values will be the basis for decision maker to take decisions regarding operation policy of the reservoir. Results of application of DE model indicate that the maximized hydropower production is 30.885 × 106 kwh and the cor-responding irrigation release is 928.44 Mm3.
Highlights
Water for drinking purpose, for use in industry, irrigation and hydropower production, is main factor for hindering developments in many parts of the globe
Results of application of Differential Evolution (DE) model indicate that the maximized hydropower production is 30.885 × 106 kwh and the corresponding irrigation release is 928.44 Mm3
This paper presents the applicability of DE for determining operation policies of a multipurpose reservoir
Summary
Water for drinking purpose, for use in industry, irrigation and hydropower production, is main factor for hindering developments in many parts of the globe. Reservoir operation forms an important role in water resources development. Oliveira and Loucks [2] have presented operating rules for multireservoir systems by using genetic search algorithms. Wardlaw and Sharif [3] have presented several alternative formulations of a genetic algorithm for reservoir system. Multi-reservoir systems optimization has been studied by Sharif and Wardlaw [4]. Nagesh Kumar et al [5] have studied optimal reservoir operation for hydropower production which involved constrained nonlinear optimization. Regulwar and Anand Raj [7] have presented A Multi objective, Multireservoir operation model for maximization of irrigation releases and hydropower production using Genetic Algorithm. A monthly Multi Objective Genetic Algorithm Fuzzy Optimization (MOGAFUOPT) model has been developed. From the relationships developed amongst irrigation releases, hydropower production and level of satisfaction, a three dimensional (3-D) surface covering the whole
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