Abstract
This paper proposes a genetic algorithm (GA) to solve the transmission system expansion planning (TSEP) problem in power systems. The transmission network is represented using the DC power flow model. The problem is then formulated as a mixed integer nonlinear problem (MINLP) which is very complex to solve in large-scale networks using classical optimization algorithms. Genetic algorithms (GAs) are a robust metaheuristic tool which can deal efficiently with optimization problems, like the TSEP problem. The most important features and improvements of the developed GA are presented. Test results are obtained for two test systems to show the good performance of the algorithm.
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Rodríguez, J.A.S., Coto, J., Gómez-Aleixandre, J. (2011). A Genetic Algorithm to Solve the Static Transmission System Expansion Planning. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_42
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DOI: https://doi.org/10.1007/978-3-642-19644-7_42
Publisher Name: Springer, Berlin, Heidelberg
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