Abstract
In this article, an electrical system with a study case is presented within the Colombian industrial electric sector in order to identify the changes in the electrical variables of a electrical network with distributed generation (DG). To achieve this, each present load in the 14-node IEEE system was modelled as daily demand curve of the Colombian industrial electric sector. In first place, the power dispatch of the 14-node IEEE system with DG was optimized through the particle swarm method. Afterwards, Quasi-Dynamic simulations were implemented throughout a 24-h period in the different nodes of the system with the purpose of estimate the transformers and line losses as well as the variations in the power and voltage profiles in the system nodes. DG systems supply effectively the demanded power however the voltage and power profiles resulting from Quasi-Dynamic simulations do not show significant changes in the behavior of the electrical network.
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Gaitan, L.F., Gómez, J.D., Trujillo, E.R. (2018). Simulation of a 14 Node IEEE System with Distributed Generation Using Quasi-dynamic Analysis. In: Figueroa-García, J., López-Santana, E., Rodriguez-Molano, J. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-00350-0_41
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