DocumentCode :
741399
Title :
Model of Photovoltaic Power Plants for Performance Analysis and Production Forecast
Author :
Bizzarri, Frederico ; Bongiorno, Massimo ; Brambilla, Angelo ; Gruosso, G. ; Gajani, Giancarlo Storti
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
Volume :
4
Issue :
2
fYear :
2013
fDate :
4/1/2013 12:00:00 AM
Firstpage :
278
Lastpage :
285
Abstract :
A photovoltaic (PV) plant model is presented. It is based on a detailed electrothermal description of the panels forming strings that, in turn, form the power plant. It accounts for environmental working conditions, such as temperature and wind speed, and specific plant configuration, such as plant topology and power losses due to interconnections. The input variables of the model are the ambient temperature, irradiance, and wind speed. The model derives the working temperature of the panel taking into account also the power conversion performed by the panel; the electrical operating point is determined by simulating the actions done by the maximum power point tracker that operates at plant level. This model has been tested using a large database of experimental data from industrial PV plants characterized by power levels ranging from 250 kW to 1 MW. As shown, the model is capable to predict power production when “fed” by forecast irradiance, ambient temperature, and wind speed data.
Keywords :
load forecasting; maximum power point trackers; photovoltaic power systems; ambient temperature; detailed electrothermal description; forecast irradiance; industrial PV plant model; maximum power point tracker; panel forming strings; photovoltaic power plant model; plant topology; power 250 kW to 1 MW; power conversion; power losses; production forecast; temperature speed; wind speed; wind speed data; Integrated circuit modeling; Mathematical model; Power generation; Predictive models; Production; Temperature measurement; Wind speed; Electrothermal macro-models; maximum power point tracker (MPPT); photovoltaic (PV) power plants; solar panels;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2012.2219563
Filename :
6324407
Link To Document :
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