Title :
A simple experimental prediction model of photovoltaic power for DC microgrid
Author :
Houssamo, I. ; Wang, B. ; Sechilariu, M. ; Locment, F. ; Friedrich, G.
Author_Institution :
AVENUES GSU, Univ. of Technol. of Compiegne, Compiegne, France
Abstract :
The photovoltaic (PV) power prediction is necessary for dealing with the grid vulnerability by smart grid messages, and could reduce the negative impact due to the unpredictable power injection into the grid. For a DC microgrid with PV-storage integrated system, this paper aims to present a simple experimental prediction model of a PV panel. The proposed model is based on indoor measurements and allows predicting the maximum output power of the PV panel at given irradiance and cell temperature. Compared to two other models, a linear power model and a single-diode model, experimental tests prove the reliability of the proposed model and validate the method.
Keywords :
distributed power generation; photovoltaic power systems; smart power grids; solar cells; DC microgrid; cell temperature; grid vulnerability; indoor measurement; linear power model; maximum output power prediction; photovoltaic panel; photovoltaic power prediction; prediction model; single diode model; smart grid message; solar irradiance; Current measurement; Mathematical model; Meteorology; Power measurement; Predictive models; Temperature measurement; Voltage measurement;
Conference_Titel :
Industrial Electronics (ISIE), 2012 IEEE International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0159-6
Electronic_ISBN :
2163-5137
DOI :
10.1109/ISIE.2012.6237160
