Implementation and testing of photovoltaic power plant control in a scaled platform
Grid code requirements have become more demanding with the increasing penetration of renewable power plants, as they are starting to be used for ensuring grid support. As a result, the power plant control (PPC) of photovoltaic (PV) plants is a critical issue for ensuring the stability of these plant...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/110589 |
| Acceso en línea: | https://hdl.handle.net/2117/110589 |
| Access Level: | acceso abierto |
| Palabra clave: | Photovoltaic power systems Electric networks Instal·lacions fotovoltaiques Xarxes elèctriques Àrees temàtiques de la UPC::Energies |
| Sumario: | Grid code requirements have become more demanding with the increasing penetration of renewable power plants, as they are starting to be used for ensuring grid support. As a result, the power plant control (PPC) of photovoltaic (PV) plants is a critical issue for ensuring the stability of these plants and their appropriate grid integration. This Master’s thesis focuses on the implementation of a PPC algorithm for an hybrid battery-PV power plant, including active power ramp rate limitation and battery state of charge control. This algorithm is first tested in a simulation software using a dynamic plant model, and then on a scaled microgrid emulation platform that emulates the behaviour of a PV plant. |
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