dc.contributorZambrano Asanza, Sergio Patricio
dc.creatorPatiño Chitacapa, César Andrés
dc.date.accessioned2023-07-27T17:32:00Z
dc.date.accessioned2023-08-10T15:16:18Z
dc.date.available2023-07-27T17:32:00Z
dc.date.available2023-08-10T15:16:18Z
dc.date.created2023-07-27T17:32:00Z
dc.date.issued2023-07-27
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/42513
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8152224
dc.description.abstractThe growing integration of distributed generation based on photovoltaic solar technology, connected in synchronism to the distribution network, constitutes a challenge for utility operations and planning. High penetration can have a negative impact on system performance, making it necessary to estimate hosting capacity. For this, the proposed methodology performs an analysis of adoption scenarios for generation by consumers, on which short circuits and power flows are simulated using time series that consider operational and regulatory restrictions, the current state of the system, and its equipment. Real and highresolution load profile information in the source node, voltage level of quality sensors, the existing control scheme, and characteristic data of loads per customer class are also considered. The generator's capacity is sized for each user based on their self-consumption, in accordance with current national regulations. Finally, the hosting capacity of a feeder integrating the medium and low voltage networks is defined based on impact criteria established in technical standards and regulatory frameworks to ensure that it does not pose a risk to the operation and does not compromise the quality and reliability of the network.
dc.languagespa
dc.publisherUniversidad de Cuenca
dc.relationTM4;2104
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsopenAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.subjectTecnología fotovoltaica
dc.subjectSobrecarga electrica
dc.subjectRecursos energéticos
dc.titleEstimación de la capacidad de alojamiento de generación solar fotovoltaica a través de una penetración masiva a nivel de consumidores en redes de distribución mediante simulación de flujos de carga con series de tiempo
dc.typemasterThesis


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