1. Derivation and performance evaluation of optimal operating policies for a reservoir using a novel PSO with elitism and variational parameters.
- Author
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Trivedi, Mugdha and Shrivastava, Rakesh
- Subjects
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INDUSTRIAL water supply , *SUSTAINABLE development , *PARTICLE swarm optimization , *WATER supply , *ELITISM - Abstract
In India, many major and medium reservoirs have been constructed to meet the fast-growing demands of irrigation, hydropower generation, drinking and industrial water supply. To achieve social and economic sustainability in water scarce areas, it is vital to efficiently manage available water resources. Indeed, water resources systems are complex and require systematic study to facilitate optimal planning and management decisions. The present study supports the strategies designed to check the deficit in water availability for Indira Sagar Reservoir system in Madhya Pradesh, India, using a novel approach of standard PSO combining two variants, elitism and variational parameters, namely a time-variant elitist mutation multi-objective particle swarm optimization (TV-EMMOPSO). The performance of the proposed algorithm is compared with the optimal operation policies developed by multi-objective particle swarm optimization (MOPSO) and elitistmutation particle swarm optimization (EM-MOPSO). The results obtained can help the managers of Indira Sagar Reservoir plan better strategies in future. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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