A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

Renewable Energy

Volumn 90, Issue , 2016, Pages 501-512

  Chine, W ^a   Mellit, A ^a,b   Lughi, V ^c   Malek, A ^d   Sulligoi, G ^c   Massi Pavan, A ^c  

^a UNIVERSITY OF JIJEL   (Algeria)

^b ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

^c UNIVERSITY OF TRIESTE   (Italy)

^d CENTRE DE DÉVELOPPEMENT DES ENERGIES RENOUVELABLES   (Algeria)

Author keywords

ANN; Fault detection; Fault diagnosis; FPGA; Photovoltaics

Indexed keywords

FAILURE ANALYSIS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); NEURAL NETWORKS; PHOTOVOLTAIC CELLS; RECONFIGURABLE HARDWARE; RENEWABLE ENERGY RESOURCES; SOLAR POWER GENERATION;

ANN; ELECTRICAL PARAMETER; EXPERIMENTAL DATABASE; FAULT DIAGNOSIS TECHNIQUE; INTEGRATED SOFTWARE ENVIRONMENTS; PHOTOVOLTAIC SYSTEMS; PHOTOVOLTAICS; XILINX SYSTEM GENERATORS (XSG);

FAULT DETECTION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATABASE; DETECTION METHOD; IRRADIANCE; MODEL TEST; MODEL VALIDATION; NUMERICAL MODEL; PHOTOVOLTAIC SYSTEM; RENEWABLE RESOURCE; SOFTWARE; SOLAR RADIATION; TEMPERATURE; WORKING CONDITIONS;

ALGERIA; JIJEL;

EID: 84954356935     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.01.036     Document Type: Article

References (45)

1. IEA A Snapshot of Global Markets 2015, Report IEA-PVPS T1 26.
2. Massi Pavan A., Lughi V. Grid parity in the Italian commercial and industrial electricity market. IEEE International Conference on Clean Electrical Power, Alghero (Italy) 2014, 332-335.
3. Massi Pavan A., Lughi V. Photovoltaics in Italy: toward grid parity in the residential electricity market. IEEE International Conference on Microelectronics, Algiers (Algeria) 2012, 1-4.
4. Drews A., de Keizer A.C., Beyer H.G., Lorenz E., Betcke J., van Sark W. Monitoring and remote failure detection of grid-connected PV systems based on satellite observations. Sol. Energy 2007, 81:548-564.
5. Drif M., Mellit A., Aguilera J., Pérez P.J. A comprehensive method for estimating energy losses due to shading of GC-BIPV systems using monitoring data. Sol. Energy 2012, 86:2397-2404.
6. Massi Pavan A., Mellit A., De Pieri D. The effect of soiling on energy production for large-scale photovoltaic plants. Sol. Energy 2011, 85:1128-1136.
7. Massi Pavan A., Mellit A., De Pieri D., Kalogirou S.A. A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants,. Appl. Energy 2011, 108:392-401.
8. Kalogirou S.A., Agathokleous R., Panayiotou G. On-site PV characterization and the effect of soiling on their performance. Energy 2013, 51:439-446.
9. Potnuru S.R., Pattabiraman D., Ganesan S.I., Chilakapati N. Positioning of PV panels for reduction in line losses and mismatch losses in PV array. Renew. Energy 2015, 78:264-275.
10. Massi Pavan A., Mellit A., De Pieri D., Lughi V. A study on the mismatch effect due to the use of different photovoltaic modules classes in large-scale solar parks. Prog. Photovolt. Res. Appl 2014, 22:332-345.
11. Massi Pavan A., Tessarolo A., Barbini N., Mellit A., Lughi V. The effect of manufacturing mismatch on energy production for large-scale photovoltaic plants. Sol. Energy 2015, 117:282-289.
12. Djordjevic S., Parlevliet D., Jennings P. Detectable faults on recently installed solar modules in Western Australia. Renew. Energy 2014, 67:215-221.
13. Guerriero P., d'Alessandro V., Petrazzuoli L., Vallone G., Daliento S. Effective real-time performance monitoring and diagnostics of individual panels in PV plants. Proc. IEEE Int. Conf. Clean Electr. Power 2013, 14-19.
14. Ciani L., Cristaldi L., Faifer M., Lazzaroni M., Rossi M. Design and implementation of a on-board device for photovoltaic panels monitoring. Proc. I2MTC 2013, 1599-1604.
15. Sánchez-Pacheco F.J., Sotorrío-Ruiz P.J., Heredia-Larrubia J.R., Pérez-Hidalgo F., De-Cardona M.S. PLC-Based PV plants smart monitoring system: field measurements and uncertainty estimation. IEEE Trans. Instrum. Meas. 2014, 63:2215-2222.
16. Ando B., Baglio S., Pistorio A., Tina G.M., Ventura C. Sentinella: smart monitoring of photovoltaic systems at panel level. IEEE Trans. Instrum. Meas. 2015, 64(2188):2199.
17. Takashima T., Yamaguchi J., Otani K., Oozeki T., Kato K., Ishida M. Experimental studies of fault location in PV module strings. Sol. Energy Mater Sol. Cells 2009, 93:1079-1082.
18. Schirone L., Califano F.P., Pastena M. Fault detection in a photovoltaic plant by time domain reflectometry. Prog. Photovolt. Res. App 1994, 2:35-44.
19. Vergura S., Acciani G., Amoruso V., Patrono G. Inferential statistics for monitoring and fault forecasting of PV plants. Proceedings of the IEEE International Symposium 2008, 2414-2419. Industrial Electronics, Cambridge, UK.
20. Miwa M., Yamanaka S., Kawamura H., Ohno H., Kawamura H. Diagnosis of a power output lowering of PV array with a (-dI/dV)-V characteristic. Proceeding of IEEE 4th World Conference on Photovoltaic Energy Conversion, Waikoloa, HI 2006, 2442-2445.
21. Kaplanis S., Kaplani E. Energy Performance and degradation over 20 years performance of BP c-Si PV Modules. Simul. Model. Pract. Theory 2011, 19:1201-1211.
22. Silvestre S., da Silva M.A., Chouder A., Guasch D., Karatepe E. New procedure for fault detection in grid connected PV systems based on the evaluation of current and voltage indicators. Energy Convers. Manag. 2014, 86:241-249.
23. Silvestre S., Chouder A., Karatepe E. Automatic supervision and fault detection of PV systems based on power losses analysis. Energy Convers. Manag. 2010, 51:1929-1937.
24. Chine W., Mellit A., Massi Pavan A., Kalogirou S.A. Fault detection method for grid-connected photovoltaic plants. Renew. Energy 2014, 66:99-110.
25. Gokmen N., Karatepe E., Celik B., Silvestre S. Simple diagnostic approach for determining of faulted PV modules in string based PV arrays. Sol. Energy 2012, 86:3364-3377.
26. Yagi Y., Kishi H., Hagihara R., Tanaka T., Kozuma S., Ishida T., Waki M., Tanaka M., Kiyama S. Diagnostic technology and an expert system for photovoltaic systems using the learning method. Sol. Energy Mat. Sol. Cells 2003, 75:655-663.
27. Yuchuan W., Qinli L., Yaqin S. Application of BP neural network fault diagnosis in solar Photovoltaic System. Proceedings of the IEEE International Conference on Mechatronics and Automation, Changchun, China 2009, 9-12.
28. Syafaruddin S., Karatepe E., Hiyama T. Controlling of artificial neural network for fault diagnosis of photovoltaic array. Proceedings of the 16th International Conference on Intelligent System Application to Power Systems (ISAP), Greece 2011, 1-6.
29. Li Z., Wang Y., Zhou D., Wu C. An intelligent method for fault diagnosis in photovoltaic array. ICSC Part II CCIS 2012, 327:10-16.
30. Ducange P., Fazzolari M., Lazzerini B., Marcelloni F. An intelligent system for detecting faults in photovoltaic fields. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications IEEE, Cordoba, Spain 2011, 1341-1346.
31. Bonsignore L., Davarifar M., Rabhib A., Tinaa G.M., Elhajjaji A. Neuro-Fuzzy fault detection method for photovoltaic systems. Energy Procedia 2014, 62:431-441.
32. Chao K.H., Ho S.H., Wang M.H. Modeling and fault diagnosis of a photovoltaic system. Electr. Power Syst. Res. 2008, 78:97-105.
33. Zhao Y., Yang L., Lehman B., De Palma J.F., Mosesian J., Lyons R. Decision-based fault detection and classification in solar photovoltaic arrays. Twenty Seventh Annual IEEE Applied Power Electronics Conference and Exposition, Orlando, FL 2012, 93-99.
34. Zhao Y., Lehman B., De Palma J.F., Mosesian J., Lyons R. Challenges to overcurrent protection devices under line-line faults in solar photovoltaic arrays. IEEE Energy Conversion Congress and Exposition (ECCE), Phoenix, Arizona 2011, 20-27.
35. Hernandez J.C., Vidal P.G., Medina A. Characterization of the insulation and leakage currents of PV generators: relevance for human safety. Renew. Energy 2010, 35:593-601.
36. Garcia O., Hernandez J.C., Jurado F. Guidelines for Protection against Overcurrent in Photovoltaic Generators. Adv. Electr. Comput. Eng. 2012, 12:63-70.
37. Bastidas-Rodriguez J.D., Petrone G., Ramos-Paja A., Spagnuolo G. Photovoltaic modules diagnostic: an overview. 39th IEEE Annual Conference on Industrial Electronics Society 2013, 96-101. IECON, Vienna.
38. Chine W., Mellit A., Massi Pavan A., Lughi V. Fault diagnosis in photovoltaic arrays. IEEE ICCEP 16-18 June 2015, 73-78. Sicily, (Italy).
39. Sera D., Teodorescu R., Rodriguez P. PV panel model based on datasheet values. Proceedings of the IEEE International Symposium on Industrial Electronics 2007, 2392-2396.
40. Stein J.S., Cameron C.P., Bourne B., Kimber A., Posbic J., Jester T. A standardized approach to PV system performance model validation. Photovoltaic Specialists Conference (PVSC), 2010 35th IEEE 2010, 1079-1084.
41. Xiao W., Dunford W.G., Capel A. A novel modelling method for photovoltaic cells. Proceedings of the IEEE 35th, Annual Power Electronics Specialists Conference (PESC) 2004, 1950-1956.
42. Long B. Détection et localisation de défauts pour un système PV 2011, PhD thesis, University of Grenoble.
43. BP Solar BP MSX120-120 W Multi-crystalline Photovoltaic Module Datasheet 2002, http://www.comel.gr/.
44. Mellit A., Kalogirou S.A. MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives. Energy 2014, 70:1-21.
45. Mekki H., Mellit A., Kalogirou S.A., Messai A., Furlan G. FPGA-Based implementation of a real time photovoltaic module simulator. Prog. Photovolt. Res. Appl 2010, 18:115-127.