Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Hu, Yihua; Zhang, Jiangfeng; Cao, Wenping; Wu, Jiande; Tian, Gui Yun; Finney, Stephen J.; Kirtley, James L.
Languages: English
Types: Article

Classified by OpenAIRE into

Photovoltaic (PV) stations have been widely built in the world to utilize solar energy directly. In order to reduce the capital and operational costs, early fault diagnosis is playing an increasingly important role by enabling the long effective operation of PV arrays. This paper analyzes the terminal characteristics of faulty PV strings and arrays, and it develops a PV array fault diagnosis technique. The terminal current-voltage curve of a faulty PV array is divided into two sections, i.e., high-voltage and low-voltage fault diagnosis sections. The corresponding working points of healthy string modules and of healthy and faulty modules in an unhealthy string are then analyzed for each section. By probing into different working points, a faulty PV module can be located. The fault information is of critical importance for the maximum power point tracking and the array dynamical reconfiguration. Furthermore, the string current sensors can be eliminated, and the number of voltage sensors can be reduced by optimizing voltage sensor locations. Typical fault scenarios including monostring, multistring, and a partial shadow for a 1.6-kW 3 $times$ 3 PV array are presented and experimentally tested to confirm the effectiveness of the proposed fault diagnosis method.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Y. A. Mahmoud, W. Xiao, H. H. Zeineldin, “A parameterization approach for enhancing PV model accuracy,” IEEE Trans. Ind. Electron., vol. 60, no.12, pp. 5708-5716, 2013.
    • [2] B. N. Alajmi, K. H. Ahmed, S. J. Finney, B. W. Williams, “A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1596-1606, April 2013.
    • [3] L. Gao, R. A. Dougal, S. Liu, and A. P. Iotova, “Parallel-connected solar PV System to address partial and rapidly fluctuating shadow conditions,” IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1548-1556, May 2009.
    • [4] N Femia, G Petrone, G Spagnuolo, M Vitelli,” A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems,” IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4473-4482, Nov. 2009.
    • [5] K. Ishaque, and Z. Salam, “A deterministic particle swarm optimization maximum power point tracker for photovoltaic system under partial shading condition,” IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3195- 3206, Aug. 2013.
    • [6] M. Boztepe, F. Guinjoan, G. Velasco-Quesada, S. Silvestre, A. Chouder, E. Karatepe, “Global MPPT scheme for photovoltaic string inverters based on restricted voltage window search algorithm,” IEEE Trans. Ind. Electron., vol. 61, no. 7, pp. 3302-3312, Jul. 2014.
    • [7] K. Ding, X. Bian, H. Liu, T. Peng, “A MATLAB-Simulink-based PV module model and its application under conditions of nonuniform irradiance,” IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 864-872, Dec. 2012.
    • [8] G Petrone, G Spagnuolo, M Vitelli, “Analytical model of mismatched photovoltaic fields by means of Lambert W-function,” Solar Energy Materials and Solar Cells, vol. 91 no. 18, pp. 1652-1657, Nov. 2007.
    • [9] Y. Hu, Y. Deng, Q. Liu, X. He, “Asymmetry three-level grid-connected current hysteresis control with varying bus voltage and virtual over-sample method,” IEEE Trans. Power Electron., vol. 29, no. 6, pp. 3214-3222, Jun. 2014.
    • [10] Y. Liu, B. Ge, H. Abu-Rub, and F. Z. Peng, “An effective control method for three-phase quasi-Z-source cascaded multilevel inverter based grid-tie photovoltaic power system,” IEEE Trans. Ind. Electron., vol. 61, no. 12, pp. 6794-6802, Dec. 2014.
    • [11] S. Djordjevic, D. Parlevliet, P. Jennings, “Detectable faults on recently installed solar modules in Western Australia” Renewable Energy, vol. 67, pp. 215-221, 2014.
    • [12] A. Maki, S. Valkealahti, “Effect of photovoltaic generator components on the number of MPPs under partial shading conditions,” IEEE Trans. Energy Convers., vol. 28, Issue 4, pp.1008-1017, 2013.
    • [13] M. Z. S El-Dein, M. Kazerani, M. M. A. Salama, “Optimal photovoltaic array reconfiguration to reduce partial shading losses,” IEEE Trans. Sustain. Energy, vol. 4, Issue 1, pp. 145-153, 2013.
    • [14] E. V. Paraskevadaki, S. A. Papathanassiou, “Evaluation of MPP voltage and power of mc-Si PV modules in partial shading conditions,” IEEE Trans. Energy Convers., vol. 26, Issue 3, pp. 923-932, 2011.
    • [15] H. A. Lauffenburger, R. T. Anderson, “Reliability terminology and formulae for photovoltaic power systems,” IEEE Trans. Rel., vol. R-31, Issue 3, pp. 289-295, 1982.
    • [16] L. H. Stember, W. R. Huss, M. S. Bridgman, “A methodology for photovoltaic system reliability & economic analysis,” IEEE Trans. Rel., vol. R-31, Issue 3, pp. 296-303, 1982.
    • [17] C. Buerhopa, D. Schlegela, M. Niessb, C. Vodermayerb, R. Weißmanna, C. J. Brabeca, “Reliability of IR-imaging of PV-plants under operating conditions,” Solar Energy Materials and Solar Cells, vol. 107, pp. 154- 164, 2012.
    • [18] Y. Hu, B. Gao, G.Y. Tian, X. Song, K. Li, X. He. “Photovoltaic fault detection using a parameter based model,” Solar Energy, vol. 96, pp. 96- 102, Oct. 2013.
    • [19] A. Krenzinger, A. C. Andrade, “Accurate outdoor glass thermographic thermometry applied to solar energy devices,” Solar Energy, vol. 81, pp. 1025-1034, 2007.
    • [20] M. Simon and E. L. Meyer, “Detection and analysis of hot-spot formation in solar cells,” Solar Energy Materials and Solar Cells, vol. 94, no. 2, pp. 106-113, 2010.
    • [21] J. Kurnik, M. Jankovec, K. Brecl and M. Topic, “Outdoor testing of PV module temperature and performance under different mounting and operational conditions,” Solar Energy Materials & Solar Cells, vol. 95, pp. 373-376, 2011.
    • [22] Y. Hu, W. Cao, J. Wu, B. Ji, D. Holliday, “Thermography-based virtual MPPT scheme for improving PV energy efficiency at partial shading conditions,” IEEE Trans. Power Electron. vol. 29, no. 11, pp. 5667-5672, Jun. 2014.
    • [23] Z. Zou, Y. Hu, B. Gao, W. L.Woo and X. Zhao, “Study of the gradual change phenomenon in the infrared image when monitoring photovoltaic array,” Journal of Applied Physics, vol. 115, no. 4, pp. 1-11, 2014.
    • [24] T. Takashima, J. Yamaguchi, K. Otani, T. Oozeki, K. Kato, “Experimental studies of fault location in PV module strings,” Solar Energy Materials and Solar Cells, vol. 93 issues. 6-7, pp. 1079-1082, Jun. 2009.
    • [25] R. A. Kumar, M. S. Suresh, J. Nagaraju, “Measurement of AC parameters of gallium arsenide (GaAs/Ge) solar cell by impedance spectroscopy,” IEEE Trans. Electron Devices, vol. 48, issue 9, pp. 2177-2179, 2001.
    • [26] A. Chouder, S. Silvestre, “Automatic supervision and fault detection of PV systems based on power losses analysis,” Energy Conversion and Management, vol. 51, issue 10, pp. 1929-1937, Oct. 2010.
    • [27] S. Silvestre, A. Chouder, E. Karatepe, “Automatic fault detection in grid connected PV systems,” Solar Energy, vol. 94, pp. 119-127, Aug. 2013.
    • [28] N. Gokmen, E. Karatepe, S. Silvestre, B. Celik, P. Ortega, “An efficient fault diagnosis method for PV systems based on operating voltagewindow,” Energy Conversion and Management, vol. 73, pp. 350-360, Sep. 2013.
    • [29] X. Lin, Y. Wang, D. Zhu, N. Chang and M. Pedram, “Online fault detection and tolerance for photovoltaic energy harvesting systems,” the 2012 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Jose, USA, pp. 1-6. 2012.
    • [30] D. Nguyen, B. Lehman. “An adaptive solar photovoltaic array using model-based reconfiguration algorithm,” IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2644-2654, Jul. 2008.
    • [31] J. P. Storey, P. R. Wilson, and D. Bagnall, “Improved optimization strategy for irradiance equalization in dynamic photovoltaic arrays,” IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2946-2956, Jun. 2013.
    • [32] G. Velasco-Quesada, F. Guinjoan-Gispert, R. Pique-Lopez, M. RomanLumbreras, and A. Conesa-Roca, “Electrical PV array reconfiguration strategy for energy extraction improvement in grid-connected PV systems,” IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4319-4331, Nov. 2009.
    • [33] Y. Wang, X. Lin, Y. Kim, N. Chang, and M. Pedram, “Architecture and control algorithms for combating partial shading in photovoltaic systems,” IEEE Trans. Comput.-Aided Design Integr. Circuits Syst., vol. 33, no. 6, pp. 917-929, Jun. 2014.
    • [34] S. Jonathan, R. W. Peter, and B. Darren, “The optimized-string dynamic photovoltaic array,” IEEE Trans. Power Electron., vol. 29, no. 4, pp. 1768- 1776, Apr. 2014.
    • [35] P. L. Carotenuto, P. Manganiello, G. Petrone, and G. Spagnuolo, “Online recording a PV module fingerprint,” IEEE J. Photovolt, vol. 4, no. 2, pp. 659-668, Mar. 2014.
    • [36] Y. Hu, H. Chen, R. Xu, R. Li. “Photovoltaic (PV) array fault diagnosis strategy based on optimal sensor placement,” Proceedings of the CSEE, vol. 31, issue 33, pp. 19-30, 2011.
    • [37] B. Yang, W. Li, Y. Zhao and X. He, “Design and analysis of a gridconnected photovoltaic power system,” IEEE Trans. Power Electron., vol. 25, no. 4, pp. 992-1000, Apr. 2010.
    • [38] P. Guerriero, V. d'Alessandro, L. Petrazzuoli, G. Vallone, and S. Daliento, “Effective real-time performance monitoring and diagnostics of individual panels in PV plants,” the 4th International Conference on Clear Electrical Power (ICCEP), Alghero, Italy, pp. 14-19. 2013.
    • [39] P. Guerriero, G. Vallone, M. Primato, F. Di Napoli, L. Di Nardo, V. d'Alessandro, S. Daliento, “A wireless sensor network for the monitoring of large PV plants,” the International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Ischia, Italy, pp. 960-965, 2014. Yihua Hu (M'13) received the B.Sc. in electrical motor drives in 2003, and the Ph.D. in power electronics and drives in 2011, both from China University of Mining and Technology, Jiangsu, China. Between 2011 and 2013, he was with the College of Electrical Engineering, Zhejiang University as a Postdoctoral Fellow. Between November 2012 and February 2013, he was an academic Visiting Scholar with the School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, UK. He is currently a Research Associate with the Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, U.K. His research interests include PV systems, DC-DC/DC-AC converters, and electrical motor drives.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article