Siting and Sizing of Distributed Generation Units in Distribution Systems with Genetic Algorithms
DOI:
https://doi.org/10.18687/LACCEI2023.1.1.1262Palabras clave:
distributed generation, genetic algorithmsResumen
This paper presents a genetic algorithm for the location of distributed generation units, using the equations of power flow and energy balance between demanded power and generated power. The genetic algorithm is performed in the open-source programming language Python due to its current importance and the multiple libraries for data science. The genetic algorithm for distributed generation location is applied in a feeder circuit in the city of Arequipa
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2023-07-27
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Derechos de autor 2023 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
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Meza-Zamata, Jessica, Chahuara-Llerena, Joaquin, Gomero-Ostos, Nestor, Grados, Juan, Arellan-Yanac, Luis, Ramirez-Soto, Edwin, & Lara-Marquez, Juan. (2023). Siting and Sizing of Distributed Generation Units in Distribution Systems with Genetic Algorithms. LACCEI, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.1262