TY - GEN
T1 - System for the electrical characterization of solar cells based on one data acquisition board and C#
AU - Fonseca-Campos, Jorge
AU - Ruiz, Leonardo Fonseca
AU - Mata-Machuca, Juan L.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Renewable energy has grown extensively in the last decades. The photovoltaic panels have been playing a significant role in the technologies used to produce this type of energy. This tendency is expected to continue in the future, because the cost of the solar panels has been gradually reduced. Systems providing information of the electric performance of the solar cells can be helpful for technicians and researchers. In this paper an inexpensive system that measures the I-V curves of photovoltaic cells is presented. With the experimental data the parameters of the single diode model of the solar cell were estimated implementing the simulated annealing algorithm. Three different solar modules were tested at various irradiation levels. A good agreement between the experimental data and the fitted curve was obtained.
AB - Renewable energy has grown extensively in the last decades. The photovoltaic panels have been playing a significant role in the technologies used to produce this type of energy. This tendency is expected to continue in the future, because the cost of the solar panels has been gradually reduced. Systems providing information of the electric performance of the solar cells can be helpful for technicians and researchers. In this paper an inexpensive system that measures the I-V curves of photovoltaic cells is presented. With the experimental data the parameters of the single diode model of the solar cell were estimated implementing the simulated annealing algorithm. Three different solar modules were tested at various irradiation levels. A good agreement between the experimental data and the fitted curve was obtained.
KW - C#
KW - DAQ
KW - I-V Curve
KW - simulated annealing and parameters of the solar cell
KW - single diode model
KW - solar cells
UR - http://www.scopus.com/inward/record.url?scp=85046279224&partnerID=8YFLogxK
U2 - 10.1109/ROPEC.2017.8261626
DO - 10.1109/ROPEC.2017.8261626
M3 - Contribución a la conferencia
AN - SCOPUS:85046279224
T3 - 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
SP - 1
EP - 6
BT - 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
Y2 - 8 November 2017 through 10 November 2017
ER -
