A new method for estimating the longevity and degradation of photovoltaic systems considering weather states

Abstract

The power output of solar photovoltaic (PV) systems is affected by solar radiation and ambient temperature. The commonly used evaluation techniques usually overlook the four weather states which are clear, cloudy, foggy, and rainy. In this paper, an ovel analytical model of the four weather conditions based on the Markov chain is proposed. The Markov method is well suited to estimate the reliability and availability of systems based on a continuous stochastic process. The proposed method is generic enough to be applied to reliability evaluation of PV systems and even other applications. Further aspects investigated include the new degradation model for reliability predication of PV modules. The results indicate that the PV module degradation over years, failures, and solar radiation must be considered in choosing an efficient PV system with an optimal design to achieve the maximum benefit of the PV system. For each aspect, a method is proposed, and the complete focusing methodology is expounded and validated using simulated point targets. The results also demonstrate the feasibility and applicability of the proposed method for effective modeling of the chronological aspects and stochastic characteristics of solar cells as well as the optimal configuration and sizing of large PV plants in terms of cost and reliability.

Key words： photovoltaic (PV) systems; solar cell; Markov model; weather effects

References

1 Weinstock D, Appelbaum J. Optimal design of solar fields. In: Proceedings of the 22nd Convention of Electrical and Electronics Engineers in Israel. IEEE, 2002, 163–165

2 So J H, Jung Y S, Yu B G, Hwang H M, Yu G J, Choi J Y. Performance results and analysis of large scale PV system. In: IEEE 4th World Conference on Photovoltaic Energy Conversion. IEEE, 2006, 2375–2378

3 Ku W, Nour N, Piascik T, Firester A, Stranix A, Zonis M. Economic evaluation of photovoltaic generation applications in a large electric utility system. IEEE Transactions on Power Apparatus and Systems, 1983, PAS-102(8): 2811–2816

4 Caracciolo F, Dallago E, Finarelli D G, Liberale A, Merhej P. Single-variable optimization method for evaluating solar cell and solar module parameters. IEEE Journal of Photovoltaics, 2012, 2(2): 173–180

5 Kornelakis A, Koutroulis E. Methodology for the design optimization and the economic analysis of grid-connected photovoltaic systems. IET Renewable Power Generation, 2009, 3(4): 476–492

6 Yang B, Sun Y, Lin Y. Decision-making on PV modules for very large scale photovoltaic systems using improved analytic hierarchy process. In: Proceedings of Asia-Pacific Power Energy Engineering Conference. Wuhan, China, 2011, 1–5

7 Ozdemira S, Altin N, Sefa I. Single stage three level grid interactive MPPT inverter for PV systems. Energy Conversion and Management, 2014, 80: 561–572

8 Foreroa N, Hernndezb J, Gordillo G. Development of a monitoring system for a PV solar plant. Energy Conversion and Management, 2006, 47(15): 2329–2336

9 Zhou Z, Holland P M, Igic P. MPPT algorithm test on a photovoltaic emulating system constructed by a DC power supply and an indoor solar panel. Energy Conversion and Management, 2014, 85: 460–469

10 Ahadi A, Ghadimi N, Mirabbasi D. Reliability assessment for components of large scale photovoltaic systems. Journal of Power Sources, 2014, 264: 211–219

11 Villalva M G, Gazoli J R, Filho E R. Comprehensive approach to modeling and simulation of photo-voltaic arrays. IEEE Transactions on Power Electronics, 2009, 24(5): 1198–1208

12 Miryousefi Aval S M, Ahadi A, Hayati H. Adequacy assessment of power systems incorporating building cooling, heating and power plants. Energy and Building, 2015, 105: 236–246

13 Moharil R M, Kulkarni P S. Reliability analysis of solar photovoltaic system using hourly mean solar radiation data. Solar Energy, 2010, 84(4): 691–702

14 Smet V, Forest F, Huselstein J J, Richardeau F, Khatir Z, Lefebvre S, Berkani M. Ageing and failure modes of IGBT modules in high-temperature power cycling. IEEE Transactions on Industrial Electronics, 2011, 58(10): 4931–4941

15 Theristis M, Papazoglou I A. Markovian reliability analysis of standalone photovoltaic systems incorporating repairs. IEEE Journal of Photovoltaics, 2014, 4(1): 414–422

16 Celik A N, Acikgoz N. Modelling and experimental verification of the operating current of mono crystalline photovoltaic modules using four-and five-parameter models. Applied Energy, 2007, 84(1): 1–15

17 Maghraby H A M, Shwehdi M H, Al-Bassam G K. Probabilistic assessment of photovoltaic generation systems. IEEE Transactions on Power Systems, 2002, 17(1): 205–208

18 Billinton R, Allan R N. Reliability Evaluation of Engineering Systems: concepts and Techniques, 2nd Ed. Plenum Press, 1992

19 Paatero J V, Lund P D. Effects of large-scale photovoltaic power integration on electricity distribution networks. Renewable Energy, 2007, 32(2): 216–234

20 Cha S T, Jeon D H, Bae I S, Lee R, Kim J. Reliability evaluation of distribution system connected photovoltaic generation considering weather effects. In: 8th International Conference on Probabilistic Methods Applied to Power Systems. Ames, USA, 2004

21 Shi J, Lee W J, Liu Y, Yang Y, Wang P. Forecasting power output of photovoltaic systems based on weather classification and support vector machines. IEEE Transactions on Industry Applications, 2012, 48(3): 1064–1069

22 Gow J A, Manning C D. Development of a photovoltaic array model for use in power-electronics simulation studies. IEE Proceedings. Electric Power Applications, 1999, 146(2): 193–200

23 Ahadi A, Hayati H, Miryousefi M. Reliability evaluation of future photovoltaic systems with smart operation strategy. Frontiers in Energy, DOI: 10.1007/s11708-015-0392-4

24 Kerekes T, Koutroulis E, Eyigun S, Teodorescu R, Katsanevakis M, Sera D. A practical optimization method for designing large PV plants. In: Proceedings of International Symposium on Industrial Electronics. Gdańsk, Poland, 2011, 2051–2056

25 Bidram A, Davoudi A, Balog R S. Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays. IEEE Journal of Photovoltaics, 2012, 2(4): 532–546

26 Ahadi A, Hayati H, Miryousefi M. Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems. Frontiers in Energy, (in press)

27 Riffonneau Y, Bacha S, Barruel F, Ploix S. Optimal power flow management for grid connected PV systems with batteries. IEEE Transactions on Sustainable. Energy, 2011, 2(3): 309–320

28 Borowy B, Salameh Z. Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system. IEEE Transactions on Energy Conversion, 1996, 11(2): 367–375

29 Chedid R, Rahman S. Unit sizing and control of hybrid wind-solar power systems. IEEE Transactions on Energy Conversion, 1997, 12(1): 79–85

30 Shrestha G B, Goel L. A study on optimal sizing of stand-alone photovoltaic stations. IEEE Transactions on Energy Conversion, 1998, 13(4): 373–378

31 Meyer E L, van Dyk E E. Assessing the reliability and degradation of photovoltaic module performance parameters. IEEE Transactions on Reliability, 2004, 53(1): 83–92

32 Ahadi A, Ghadimi N, Mirabbasi D. An analytical methodology for assessment of smart monitoring impact on future electric power distribution system reliability. Complexity, 2015, 21(1): 99–113

33 Billinton R, Wang P. Teaching distribution system reliability evaluation using Monte Carlo simulation. IEEE Transactions on Power Systems, 1999, 14(2): 397–403

34 Pereira M V F, Maceira M E P, Oliveira G C, Pinto L M V G. Combining analytical models and Monte Carlo techniques in probabilistic power system analysis. IEEE Transactions on Power Systems, 1992, 7(1): 265–272

35 Brown R E. Electric Power Distribution Reliability, 2nd Ed.New York: Taylor and Francis Group, 2009

36 Miryousefi Aval S M, Ahadi A, Hayati H. Adequacy assessment of power systems incorporating building cooling, heating and power plants. Energy and Building, 2015, 105: 236–246

37 Singh C, Billinton R. Frequency and duration concepts in system reliability evaluation. IEEE Transactions on Reliability, 1975, R-24(1): 31–36

38 Singh C, Patton A D. Concepts for calculating frequency of system failure. IEEE Transactions on Reliability, 1980, R-29(4): 336–338

39 Acharya J R. Weather effect consideration in reliability evaluation of electrical transmission and distribution systems. Dissertation for the Master’s Degree. Department of Electrical Engineering University of Saskatchewan, Saskatoon, Canada, 2005