Rooftop Solar PV Hosting Capacity Analysis in MV-LV Distribution Networks Using Quasi-Static Time-Series Simulation
The 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 h...
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| Format: | ARTÍCULO DE CONFERENCIA |
| Language: | es_ES |
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IEEE
2024
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/44109 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180013498&doi=10.1109%2fISGT-LA56058.2023.10328352&partnerID=40&md5=002497d9c44a1f2ea43fe4e374207a9a |
| Summary: | The 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 metrics |
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