Abstract
This paper introduces the application of a new planning strategy based on a stochastic optimization method namely Moth flame optimization (MFO) to solve the optimal power flow management (OPFM) of the Algerian electric transmission system 114-Bus. Three objective functions have been optimized, the total fuel cost, the total power losses and total voltage deviation. The particularity and efficiency of the proposed MFO algorithm in terms of solution quality and convergence characteristics have been validated on the practical Algerian 114-bus test system. Obtained results have been compared to the standard genetic algorithm (GA) and to the particle swarm optimization (PSO) which demonstrates the efficacy of the MFA in solving large scale OPFM.
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Zahia, D., Belkacem, M. (2022). Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. IC-AIRES 2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-92038-8_7
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DOI: https://doi.org/10.1007/978-3-030-92038-8_7
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