Determinación de la máxima penetración de generación solar fotovoltaica en redes de distribución industriales
en: Due to the use of distributed generation sources has increased in recent years, especially at the industrial level, the research carried out in this degree work aims to establish the maximum penetration of photovoltaic solar energy in an industrial distribution network, determining the effect of...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Colombia |
| Institución: | Escuela Colombiana de Ingeniería Julio Garavito |
| Repositorio: | Repositorio Institucional ECI |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.escuelaing.edu.co:001/2066 |
| Acceso en línea: | https://repositorio.escuelaing.edu.co/handle/001/2066 https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=23020 |
| Access Level: | acceso abierto |
| Palabra clave: | Generadores de energía fotovoltaica Energía solar - fotovoltaica Instalaciones Fotovoltaicas Photovoltaic power generators Photovoltaic Solar Energy Photovoltaic Installations |
| Sumario: | en: Due to the use of distributed generation sources has increased in recent years, especially at the industrial level, the research carried out in this degree work aims to establish the maximum penetration of photovoltaic solar energy in an industrial distribution network, determining the effect of the integration of this generation in the network, through 22 dispersion (participation) and penetration scenarios, where variables will be evaluated in the framework of power quality in the NTC 5001 standard of 2008. The proposed methodology includes the modeling of the solar resource (irradiance and temperature), and the load profile that in this case is of an industrial circuit (34.5 kV) of the North Savanna of Bogotá. This modeling was carried out through the analysis of the Mixed Gaussian Model, to carry out the probability adjustment and estimate the availability of solar resource and consumption profile for a sunny day (12 hours), with a capture frequency of every 5 minutes for irradiance and time for charging. Subsequently, the Monte Carlo Analysis was carried out to recreate 1,000 days of simulation based on the estimates made; meanwhile, the estimated temperature values were adjusted by interpolation by cubic splines, expressing them as a function of irradiance. Subsequently, the scenarios defined in the OpenDSS simulation software are modeled, and the result analysis is carried out using Matlab, and thus determine the maximum value of photovoltaic solar energy penetration permissible in an industrial distribution network. |
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