Reservoir Operation Using Particle Swarm Optimization

Abstract

Ideal operation of the reservoir is thoughtful in the current circumstances of water deficiency being faced by the country, due to perceivable universal increase in the water demand for numerous requirements. Water resources projects required enormous funds, money and manpower to reach the desired objective and operate the reservoir in best way a reservoir operation is needed. Depending upon reservoir characteristics and need of surrounding area it is required to design an optimized model considering all above essential and constraints. The present study is carried out for Jayakwadi stage II (Majalgaon dam), Maharashtra state, India. Objective function taken as maximization of hydropower generation and demonstrate application of particle swarm optimization in field of water resources engineering. The constraints of optimization model are: Turbine capacity, storage capacity, Irrigation demand, hydrological continuity. The model is solved using particle swarm optimization (PSO) in MATLAB. The PSO parameters fixed are population size=100, number of variables=36, maximum and minimum inertia weight =.9 and.4 acceleration factor C₁and C₂= 2. The maximized release of water for hydropower generation works out to be 348 Mm³. Also, model is solved by using LINGO (Language for Interactive General Optimization) and the result of the maximization of release of water for hydropower generation is 348 mm³. From this study it can be stated that the PSO results are comparable with other techniques and the PSO can be used for reservoir operation.