Multi-Objective Profit Based Commitment and Dispatch of Cogeneration System Using Decision Making Strategy Approach

Abstract

Previous studies are focused on the cogeneration unit commitment problem (CUCP) to find optimum operating cost with satisfaction of operation constraints. However, the profit and environment emission are not considered, the obtained CUCP problem is not enough to address the multi-objective profit based CUCP (MO-PBCUCP). The goal is to find optimum heat and power generation schedule of cogeneration system to increase the profit and decrease environmental emissions simultaneously for Generation Companies. Therefore, the MO-PBCUCP has been solved to find schedule of cogeneration, conventional thermal power and heat units. The optimization technique such as continuous/binary particle swarm search algorithm and civilized swarm/successive approximation with decision making strategy approach is implemented to resolve mixed-integer MO-PBCUCP. These methods have been applied to cogeneration based test system, to verify the effectiveness of the optimization method. The implemented method optimizes the opportunities to make use of high profits and minimize emission. The obtained profit from civilized swarm and successive approximation is high as compared to continuous/binary particle swarm search algorithm and the emission is less.