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Particle Swarm Optimisation Techniques for Deriving Operation Policies for Maximum Hydropower Generation: A Case Study

C.R. Suribabu

Abstract


Planning the operation of reservoir for optimal power generation is important, due to uncertainty in future inflows and energy demand. The national interest in generating the hydroelectric power has focused on the potential for greater energy production from existing and planned reservoir systems. Determining the optimal long-term operation of a reservoir and assessing its potential towards various purposes for which it is intended,
has been attempted by applying operation research techniques. A model for optimal operating policy of a reservoir for power generation using Particle swarm algorithm is developed. The focus of this paper is to assess the power generation potential of Indirasagar reservoir across the river Narmada in central part of India by Particle swarm optimisation (PSO) technique. This paper describes the monthly hydropower generation optimisation model to maximize the hydropower. The simulated results of the model show that the PSO is most promising and competitive and can be used for reservoir operation.

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