Compensation of Forecast Error in Large PV Plants with Battery Storage: Associated Strategies
| Autor: | Marcos Álvarez, Javier, Parra Laita, Íñigo de la, Muñoz Escribano, Mikel, García Solano, Miguel, Marroyo Palomo, Luis |
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| Přispěvatelé: | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Cities, Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica, Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko eta Elektronikoa Saila |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname |
| DOI: | 10.4229/eupvsec20172017-6bv.3.94 |
| Popis: | 33rd European Photovoltaic Solar Energy Conference and Exhibition; 2757-2760 High penetration rates of utility-scale photovoltaics (PV) plants can force the system operator (TSO) to allocate significant levels of energy reservoirs, and as a consequence, an increase of the operation costs can occur. For this reason, TSO traditionally applies sanctions to every generator which fails to deliver the scheduled power. This paper presents two novel strategies which allow a large PV plant, in conjunction with an energy storage system (EES), to completely compensate the forecast errors and fulfil the programme referred. The general validity of these algorithms was confirmed through simulations carried out with both proposed strategies and real operational PV power output data taken every 5s in the course of two year 38.5 MW PV power plant of Amareleja (Portugal). |
| Databáze: | OpenAIRE |
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