Five PV Model Parameters Determination Through PSO and Genetic Algorithm, a Comparative Study
作者： M. Rezki , S. Bensaid , I. Griche , H. Houassine
DOI: 10.1007/978-3-030-37207-1_2
关键词:
摘要: The main goal of this paper is the application PSO (Particle Swarm Optimization) and Genetic Algorithm (GA) in Renewable energy general particularly photovoltaics (PV) order to extract five parameters that governs PV module (the photocurrent, serial resistance, saturation current, parallel resistance ideality factor). Indeed, GA are intelligent post-analytic global optimization algorithms give a minimal error. these aimed at comparing experimental results fairly well known photovoltaic with MSX 60 has given good results. This confirmed by calculation statistical performance measurement factors such as RMSE (root-mean-square error) MAPE (mean absolute percentage error).
springer.com
sci-hub.st 参考文章(19)
Amir Hossein Gandomi, Xin-She Yang, Siamak Talatahari, Amir Hossein Alavi, Particle Swarm Optimization in Civil Infrastructure Systems Metaheuristic Applications in Structures and Infrastructures. pp. 49- 76 ,(2013) , 10.1016/B978-0-12-398364-0.00003-6
A Khezzar, R Khezzar, M Zereg, Comparative study of mathematical methods for parameters calculation of current-voltage characteristic of photovoltaic module international conference on electrical and electronics engineering. ,(2009) , 10.1109/ELECO.2009.5355236
Wei Peng, Yun Zeng, Hao Gong, Yong‐qing Leng, Yong‐hong Yan, Wei Hu, Evolutionary algorithm and parameters extraction for dye-sensitised solar cells one-diode equivalent circuit model Micro & Nano Letters. ,vol. 8, pp. 86- 89 ,(2013) , 10.1049/MNL.2012.0806
Alireza Askarzadeh, Alireza Rezazadeh, Parameter identification for solar cell models using harmony search-based algorithms Solar Energy. ,vol. 86, pp. 3241- 3249 ,(2012) , 10.1016/J.SOLENER.2012.08.018
M. Zagrouba, A. Sellami, M. Bouaïcha, M. Ksouri, Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction Solar Energy. ,vol. 84, pp. 860- 866 ,(2010) , 10.1016/J.SOLENER.2010.02.012
M.R. AlRashidi, M.F. AlHajri, K.M. El-Naggar, A.K. Al-Othman, A new estimation approach for determining the I–V characteristics of solar cells Solar Energy. ,vol. 85, pp. 1543- 1550 ,(2011) , 10.1016/J.SOLENER.2011.04.013
D.S.H. Chan, J.C.H. Phang, Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics IEEE Transactions on Electron Devices. ,vol. 34, pp. 286- 293 ,(1987) , 10.1109/T-ED.1987.22920
P. Wolf, V. Benda, Identification of PV solar cells and modules parameters by combining statistical and analytical methods Solar Energy. ,vol. 93, pp. 151- 157 ,(2013) , 10.1016/J.SOLENER.2013.03.018
Mahmoud S Ismail, Mahmoud Moghavvemi, TMI Mahlia, None, Characterization of PV panel and global optimization of its model parameters using genetic algorithm Energy Conversion and Management. ,vol. 73, pp. 10- 25 ,(2013) , 10.1016/J.ENCONMAN.2013.03.033
M.A de Blas, J.L Torres, E Prieto, A Garcı́a, Selecting a suitable model for characterizing photovoltaic devices Renewable Energy. ,vol. 25, pp. 371- 380 ,(2002) , 10.1016/S0960-1481(01)00056-8