This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Varying Inertia Weight Factor (PSO-EVIWF) for solving Multi-Area Economic Dispatch (MAED) problem with tie line constraints considering valve-point loading in each area. The effectiveness of the proposed algorithm has been verified on 4 interconnected areas with 16 generators standard test system. The paper presents the search capability and convergence behavior of the proposed method. Simulation results show that the PSO-EVIWF achieved quality solutions and smooth convergence characteristics and it is an alternative method for solving MAED problem.
- economic dispatch
- multi- area economic dispatch
- particle swarm optimisation
- exponentially varying inertia weight factor
Rani, C., Petkov, E., Busawon, K., & Farrag , M. (2015). Particle swarm optimization with exponentially varying inertia weight factor for solving multi- area economic dispatch problem. In 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA) IEEE. https://doi.org/10.1109/EFEA.2014.7059938