Abstract
Artificial electric field algorithm (AEFA) [1] is a newly designed charged population-based optimization algorithm. AEFA simulates the attracting behavior of charged particles based on Coulomb’s law of electrostatic force. In this article, the application of AEFA for economic load dispatch problem in power system is presented. The effectiveness of AEFA is tested for two IEEE benchmark problems of six and fifteen generator power plant systems. The simulation results of AEFA are compared with the state-of-art algorithms PSO, GA, ABC, and GSA. The comparative study demonstrates the competence of AEFA over the other state-of-art algorithms. We also analyzed the convergence of AEFA for the selected benchmark problems and the convergence analysis ensure the fast convergence of AEFA toward the optimal solutions. Finally, the results are validated using non-parametric Wilcoxon signed rank test.
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Anita, Yadav, A., Kumar, N. (2021). Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem. In: Abraham, A., Jabbar, M., Tiwari, S., Jesus, I. (eds) Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019). SoCPaR 2019. Advances in Intelligent Systems and Computing, vol 1182. Springer, Cham. https://doi.org/10.1007/978-3-030-49345-5_8
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DOI: https://doi.org/10.1007/978-3-030-49345-5_8
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