Patiño Chitacapa, Cesar Andres2024-03-062024-03-062023979-8-3503-3696-22643-8798http://dspace.ucuenca.edu.ec/handle/123456789/44109https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180013498&doi=10.1109%2fISGT-LA56058.2023.10328352&partnerID=40&md5=002497d9c44a1f2ea43fe4e374207a9aThe massive interconnection of rooftop solar photovoltaic (PV) generation to the distribution network constitutes a challenge for the operation and planning of distribution network. In this environment, the performance of the distribution network may be affected and a comprehensive analysis of the hosting capacity in the medium and low voltage network is necessary. A quasi-static time-series and short-circuit analysis considering scenarios of PV systems penetration is proposed to accurately capture the effects of resource intermittency and load dynamics. Six metrics are used: overvoltage, voltage unbalance, thermal loading, fault currents, reverse power flow, and network losses. To evaluate the performance of the method, a real distribution feeder is used, as well as characteristic data of the classes of consumers. Since the relevance of a metric in the impact of the operation depends on the particular characteristics of each case, it is convenient to quantify these different metricses-ESIntegrated Distribution PlanningQuasi-Static Time-SeriesDistribution NetworksHosting CapacityPV SystemsRooftop Solar PV Hosting Capacity Analysis in MV-LV Distribution Networks Using Quasi-Static Time-Series SimulationARTÍCULO DE CONFERENCIA10.1109/ISGT-LA56058.2023.10328352