Abstract
AbstractIn this article swarm Intelligence based gravitational search algorithm (PSOGSA) is used to solve combined economic and emission dispatch (CEED) problems. The CEED problem is modeled with the objective of minimizing fuel cost as well as emission level while satisfying associated operational constraints. Here the multi-objective function is converted into single objective function using price penalty method. The performance of PSOGSA approach is investigated on standard 10 unit system, 6 unit system and 40 unit system .The results obtained by simulation are compared with the recent reported results. The simulation result shows the fast convergence and its potential to solve complicated problems in power system.KeywordsDifferential EvolutionSwarm IntelligenceHarmony SearchUnit SystemPareto Optimal FrontThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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