Computer Modeling for the Operation Optimization of Mula Reservoir, Upper Godavari Basin, India, Using the Jaya Algorithm

Vartika Paliwal, Aniruddha D. Ghare, Ashwini B. Mirajkar, Neeraj Dhanraj Bokde and Andrés Elías Feijóo Lorenzo
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Vartika Paliwal: Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, India
Aniruddha D. Ghare: Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, India
Ashwini B. Mirajkar: Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, India
Neeraj Dhanraj Bokde: Department of Engineering—Renewable Energy and Thermodynamics, Aarhus University, 8000 Aarhus, Denmark
Andrés Elías Feijóo Lorenzo: Departamento de Enxeñería Eléctrica—Universidade de Vigo, Campus de Lagoas-Marcosende, 36310 Vigo, Spain

Sustainability, 2019, vol. 12, issue 1, 1-21

Abstract: In this paper, an application of the Jaya Algorithm (JA) is presented, to develop an operation optimization model for the Mula reservoir, located on the upper Godavari Basin, in India. The mentioned algorithm is a relatively new optimization technique, which is algorithm-specific and parameterless. In JA, there is no need for algorithm-specific parameter tuning, unlike with other heuristic techniques. To test its applicability, the model performance has been compared with that of other models for hypothetical four reservoir system studies available in the literature. Simulations for hypothetical four reservoir system have proven that JA is a better solution for a number of Function Evaluations when compared with the results obtained by means of other evolutionary methods such as Genetic Algorithms, Particle Swarm Optimization, Elitist Mutated Particle Swarm Optimization, and Weed Optimization Algorithm models reported in previous studies. Simulations have been carried out for real time operation of the Mula reservoir, and have revealed its superior performance when comparing the water releases proposed by it and the ones proposed by existing policy. Hence, from the two case studies presented, it can be concluded that the JA has potential in the field of reservoir operation and can be further explored to operation optimization of existing multi-reservoir system, with lower computations.

Keywords: Jaya algorithm; reservoir operation; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
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