Page 282 - Advances in Renewable Energies and Power Technologies
P. 282
References 255
[75] M. Zahran, Y. Atia, A. Al-Hussain, I. El-Sayed, LabVIEW based monitoring system
applied for PV power station, in: Proceedings of the 12th WSEAS International Confer-
ence on Automatic Control, Modelling and Simulation (ACMOS’10), May 2010,
pp. 65e70.
[76] A.S.K. Bin, S. Weixiang, O.K. Seng, S. Ramanathan, I. Low, Development of a Lab-
VIEW-based test facility for standalone PV systems, in: Electronic Design, Test and
Applications, 2006, IEEE, January 2006, p. 6. DELTA 2006. Third IEEE International
Workshop on.
[77] M. Vyas, K. Chudasama, M. Bhatt, B. Gohil, Real Time Data Monitoring of PV Solar
Cell Using LabVIEW, 2016.
[78] A. Chouder, S. Silvestre, B. Taghezouit, E. Karatepe, Monitoring, modelling and simu-
lation of PV systems using LabVIEW, Sol. Energy 91 (2013) 337e349.
[79] P. Srinivas, K.V. Lakshmi, C. Ramesh, Simulation of incremental conductance MPPT
algorithm for PV systems using LabVIEW, Simulation 4 (1) (2016).
[80] A. Mellit, S.A. Kalogirou, ANFIS-based modelling for photovoltaic power supply sys-
tem: a case study, Renew. Energy 36 (1) (2011) 250e258.
[81] K. Ishaque, Z. Salam, A comprehensive MATLAB Simulink PV system simulator with
partial shading capability based on two-diode model, Sol. Energy 85 (9) (2011)
2217e2227.
[82] R. Alik, A. Jusoh, T. Sutikno, Shading effect on photovoltaic modules with proposed
P&O checking algorithm, Int. J. Electr. Comput. Eng. 7 (1) (2017).
[83] H. Patel, V. Agarwal, MATLAB-based modeling to study the effects of partial shading
on PV array characteristics, IEEE Trans. Energy Convers. 23 (1) (2008) 302e310.
[84] M.E. Ropp, S. Gonzalez, Development of a MATLAB/simulink model of a single-phase
grid-connected photovoltaic system, IEEE Trans. Energy Convers. 24 (1) (2009)
195e202.
[85] M. Torres-Ramı ´rez, G. Nofuentes, J.P. Silva, S. Silvestre, J.V. Mun ˜oz, Study on analyt-
ical modelling approaches to the performance of thin film PV modules in sunny inland
climates, Energy 73 (2014) 731e740.
[86] O. Hachana, G.M. Tina, K.E. Hemsas, PV array fault Diagnostic Technique for BIPV
systems, Energy Build. 126 (2016) 263e274.
[87] https://ch.mathworks.com/products/matlab.html.
[88] S. Nema, R.K. Nema, G. Agnihotri, Matlab/simulink based study of photovoltaic cells/
modules/array and their experimental verification, Int. J. Energy Environ. 1 (3) (2010)
487e500.
[89] M. Tadj, K. Benmouiza, A. Cheknane, S. Silvestre, Improving the performance of PV
systems by faults detection using GISTEL approach, Energy Convers. Manag. 80
(2014) 298e304.
[90] M. Hosseinzadeh, F.R. Salmasi, Determination of maximum solar power under shading
and converter faultsda prerequisite for failure-tolerant power management systems,
Simul. Model. Pract. Theory 62 (2016) 14e30.
[91] I. Yahyaoui, M.E. Segatto, A practical technique for on-line monitoring of a photovol-
taic plant connected to a single-phase grid, Energy Convers. Manag. 132 (2017)
198e206.
[92] M. Bressan, Y. El-Basri, C. Alonso, A new method for fault detection and identification
of shadows based on electrical signature of defects, in: Power Electronics and Applica-
tions (EPE’15 ECCE-europe), 2015 17th European Conference on, IEEE, September
2015, pp. 1e8.