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Smart Algorithm Based on the Optimization of SVR Technique by k-NNR Method for the Prognosis of the Open-Circuit and the Reversed Polarity Faults in a PV Generator


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DOI: https://doi.org/10.15866/iremos.v8i1.5197

Abstract


This paper deals with a new smart algorithm allowing open-circuit and reversed polarity faults prognosis in photovoltaic generators. Its contribution lies on the optimization of support vector regression (SVR) technique by a k-NN regression tool (k-NNR) for undetermined outputs. To testing the performance of the proposed algorithm, we used a significant data base containing the generator functioning history, and as indicators we selected variance, standard deviation, Confidence interval, absolute and relative errors.
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Keywords


Photovoltaic Generator; SVR; k-NNR; Open-Circuit; Reversed Polarity; Diagnosis; Prognosis; Lab-VIEW

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References


Z.M. Zain, M.I. Yusof, M.Z. Hussin, N.Y.Dahlan, L.A.Rimon, Grid connected monocrytalline and polycrystalline photovoltaic system: A comparative study on performance, in Proceedings of the 2013 IEEE ICSPC (Conference on Systems, Process & Control), pp. 275 – 278, Kuala Lumpur, 13-15 Dec. 2013.
http://dx.doi.org/10.1109/spc.2013.6735146

J.S. Stein, The photovoltaic Performance Modeling Collaborative (PVPMC), in Proceedings of the 2012 IEEE PVSC (38th Photovoltaic Specialists Conference), pp. 003048 – 003052, Austin, TX, 3-8 June 2012.
http://dx.doi.org/10.1109/pvsc.2012.6318225

J. Fali, F. Xiangzhao, Research on impact of dust on solar photovoltaic(PV) performance, in Proceedings of the 2011 IEEE ICECE (International Conference on Electrical and Control Engineering), pp. 3601 – 3606, Yichang, 16-18 Sept. 2011.
http://dx.doi.org/10.1109/iceceng.2011.6058487

Iannone, R., Miranda, S., Riemma, S., Spagnuolo, G., An integrated approach to the simulation/optimization of grid-connected photovoltaic systems: The rational choice of components, (2012) International Review of Electrical Engineering (IREE), 7 (3), pp. 4596-4606.

Riffonneau, Y., Bacha, S., Barruel, F., Baghzouz, Y., Zamai, E., Optimal reactive supervision of grid connected PV systems with batteries in real conditions, (2012) International Review of Electrical Engineering (IREE), 7 (3), pp. 4607-4615.

Essefi, R.M., Souissi, M., Abdallah, H.H., Current control strategy for grid connected photovoltaic inverter via LCL filter, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1426-1434.

Guisser, M., El-Jouni, A., Aboulfatah, M., Abdelmounim, E., Nonlinear MPPT controller for photovoltaic pumping system based on robust integral backstepping approach, (2014) International Review on Modelling and Simulations (IREMOS), 7 (3), pp. 481-488.

Essefi, R.M., Souissi, M., Abdallah, H.H., Intelligent approach to maximum power point tracking control strategy for photovoltaic generation systems, (2014) International Review on Modelling and Simulations (IREMOS), 7 (2), pp. 287-297.

W. Rezgui, L.H. Mouss, N.K. Mouss, M.D. Mouss and M.E.H. Benbouzid, « A Regression Algorithm for the Smart Prognosis of a Reversed Polarity Fault in a Photovoltaic Generator », in Proceedings of the 2014 IEEE ICGE, Sfax (Tunisia), pp. 1-5, March 2014.
http://dx.doi.org/10.1109/icge.2014.6835411

W. Rezgui, L.H. Mouss, N.K. Mouss, M.D. Mouss, Y. Amirat and M.E.H. Benbouzid, « Development of a smart algorithm for the prognosis and the diagnosis of the short circuit and the reversed polarity faults in a photovoltaic generator », in Proceedings of the 2014 ICIEM, Batna (Algeria), May 2014.
http://dx.doi.org/10.1109/icge.2014.6835412

S.S.H. Zaidi, W.G. Zanardelli, S. Aviyente, E.G. Strangas, Prognosis of electrical faults in permanent magnet AC machines using the hidden Markov model, in Proceedings of the 2010 IEEE IECON (36th Annual Conference on IEEE Industrial Electronics Society), pp. 2634 – 2640, Glendale, AZ, 7-10 Nov. 2010.
http://dx.doi.org/10.1109/iecon.2010.5675138

W. Rezgui, L. H. Mouss, M. D. Mouss, O. KADRI and A. DISSA, « Electrical faults detection for the intelligent diagnosis of a photovoltaic generator », Journal of Electrical Engineering, Vol. 14, Issue. 1, pp. 77-84, March 2014.

W. Rezgui, L.H. Mouss, N.K. Mouss, M.D. Mouss and M.E.H. Benbouzid, « A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator », in Proceedings of the 2014 IEEE ICGE, Sfax (Tunisia), pp. 1-5, March 2014.
http://dx.doi.org/10.1109/icge.2014.6835412

Rezgui, W., Mouss, K.-N., Mouss, L.-H., Mouss, M.D., Amirat, Y., Benbouzid, M., Optimization of SVM classifier by k-NN for the smart diagnosis of the short-circuit and impedance faults in a PV generator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 863-870.
http://dx.doi.org/10.15866/iremos.v7i5.3442

Hirata Y, Noro S, Aoki T, Miyazawa S, Diagnosis photovoltaic failure by simple function method to acquire I–V curve of photovoltaic modules string, in the proceeding of 2012 IEEE PVSC (38th Photovoltaic Specialists Conference), pp. 001340 – 001343, Austin, TX, 3-8 June 2012.
http://dx.doi.org/10.1109/pvsc.2012.6317848

Gonzalez M, Raison B, Bacha S, Long Bun, Fault diagnosis in a grid-connected photovoltaic system by applying a signal approach, in the proceeding of 2011 IEEE IECON (37th Annual Conference on IEEE Industrial Electronics Society), pp. 1354 – 1359, Melbourne, VIC, 7-10 Nov. 2011.
http://dx.doi.org/10.1109/iecon.2011.6119505

Tang Jianeng, Zhu Yongqiang, Wang Wenshan, Fault diagnosis method and simulation analysis for photovoltaic array, in the proceeding of 2011 IEEE ICECE (International Conference on Electrical and Control Engineering), pp. 1569 – 1573, Yichang, 16-18 Sept. 2011.
http://dx.doi.org/10.1109/iceceng.2011.6058271

Xiaoli Xu, Huan Wang, Yunbo Zuo, Method for Diagnosing Photovoltaic Array Fault in Solar Photovoltaic System, in the proceeding of 2011 IEEE APPEEC (Asia-Pacific Power and Energy Engineering Conference), pp. 1 – 5,.Wuhan, 25-28 March 2011.
http://dx.doi.org/10.1109/appeec.2011.5747701

H. Zhao, Y. Zhang, E-P. Li, A. Buonanno, M. D'Urso, Diagnosis of Array Failure in Impulsive Noise Environment Using Unsupervised Support Vector Regression Method, IEEE Transactions on Antennas and Propagation, Vol. 61, Issue. 11, pp. 5508 – 5516, Nov. 2013.
http://dx.doi.org/10.1109/tap.2013.2275750

S. Duan, Q. Li, Y. Zhao, Fault diagnosis for sensors of aero-engine based on improved least squares support vector regression, in Proceedings of the 2011 IEEE FSKD (Eighth International Conference on Fuzzy Systems and Knowledge Discovery), pp. 1962 – 1966, Shanghai, 26-28 July 2011.
http://dx.doi.org/10.1109/fskd.2011.6019897

W-J. Tian, J-C. Liu, Fault diagnosis analysis with support vector regression and particle swarm optimization algorithm, in Proceedings of the 2010 IEEE CCDC (Chinese Control and Decision Conference), pp. 3370 – 3374, Xuzhou, 26-28 May 2010.
http://dx.doi.org/10.1109/ccdc.2010.5498577

W-J. Tian, J-C. Liu, Fault diagnosis model research based on support vector regression and principal components analysis, in Proceedings of the 2010 IEEE CCDC (Chinese Control and Decision Conference), pp. 3896 – 3899, Xuzhou, 26-28 May 2010.
http://dx.doi.org/10.1109/ccdc.2010.5498471

C. Guillemot, S. Cherigui, D. Thoreau, K-NN search using local learning based on regression for neighbor embedding-based image prediction, in Proceedings of the 2013 IEEE ICASSP (International Conference on Acoustics, Speech and Signal Processing), pp. 2006 – 2010, Vancouver, BC, 26-31 May 2013.
http://dx.doi.org/10.1109/icassp.2013.6638005

M. Luo, Y. Zheng, S. Liu, Data-based fault-tolerant control of the semiconductor manufacturing process based on K-nearest neighbor nonparametric regression, in Proceedings of the 2012 IEEE WCICA (10th World Congress on Intelligent Control and Automation), pp. 3008 – 3012, Beijing, 6-8 July 2012.
http://dx.doi.org/10.1109/wcica.2012.6358387

F. Farahnakian, T. Pahikkala, P. Liljeberg, J. Plosila, Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers, in Proceedings of the 2013 IEEE UCC (6th International Conference on Utility and Cloud Computing), pp. 256 – 259, Dresden, 9-12 Dec. 2013.
http://dx.doi.org/10.1109/ucc.2013.51

F.H. Al-Qahtani, S.F. Crone, Multivariate k-nearest neighbour regression for time series data — A novel algorithm for forecasting UK electricity demand, in Proceedings of the 2013 IEEE IJCNN (International Joint Conference on Neural Networks), pp. 1 – 8, Dallas, TX, 4-9 Aug. 2013.
http://dx.doi.org/10.1109/ijcnn.2013.6706742

W. Rezgui, L.H. Mouss, M.D Mouss, « Modeling of a photovoltaic field in malfunctioning », in Proceedings of the 2013 IEEE CoDIT (International Conference on Control, Decision and Information Technologies), Hammamet (Tunisia), pp. 788 – 793, 6-8 May 2013.
http://dx.doi.org/10.1109/codit.2013.6689643

Rezgui, W., Mouss, L.-H., Mouss, K.N., Mouss, M.D., Amirat, Y., Benbouzid, M., Electrical faults modeling of the photovoltaic generator, (2014) International Review on Modelling and Simulations (IREMOS), 7 (2), pp. 245-257.

Xiong, X.-F., Zheng, W., Chen, K., Shen, Z.-J., Identification approach in modeling a photovoltaic Grid-Tie inverter, (2012) International Review of Electrical Engineering (IREE), 7 (3), pp. 4575-4584.

Mostefai, M., Miloudi, A., Miloud, Y., An intelligent maximum power point tracker for photovoltaic systems based on neural network, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1477-1481.

Rafik, M., Hayet, M.L., Djamel, M.M., Ouahiba, C., Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, (2011) International Review on Modelling and Simulations (IREMOS), 4 (1), pp. 436-440.

Abdo Abou Jaoude, Khaled El-Tawil, Seifedine Kadry, Hassan Noura, Mustapha Ouladsine, Analytic Prognostic Model for a Dynamic System, (2010) International Review of Automatic Control (IREACO), 3 (6), pp. 568-577.


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