A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules under Partial Shading Conditions

IEEE Transactions on Power Electronics

Volumn 31, Issue 6, 2016, Pages 4171-4181

  Lyden, Sarah ^a   Haque, Md Enamul ^b  

^a UNIVERSITY OF TASMANIA   (Australia)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

maximum power point trackers; particle swarm optimization; photovoltaic systems; simulated annealing

Indexed keywords

GLOBAL OPTIMIZATION; OPTIMIZATION; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); PHOTOVOLTAIC CELLS; SIMULATED ANNEALING;

ENVIRONMENTAL CONDITIONS; EXPERIMENTAL VALIDATIONS; GLOBAL MAXIMUM POWER POINT TRACKING; NUMBER OF SAMPLES; PARTIAL SHADING CONDITION (PSC); PARTICLE SWARM OPTIMIZATION METHOD; PERTURB AND OBSERVE; PHOTOVOLTAIC SYSTEMS;

MAXIMUM POWER POINT TRACKERS;

EID: 84962428187     PISSN: 08858993     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPEL.2015.2468592     Document Type: Article

References (54)

1. S. Lyden, M. E. Haque, A. Gargoom, and M. Negnevitsky, "Review of maximum power point tracking approaches suitable for PV systems under partial shading conditions," in Proc. Austr. Univ. Power Eng. Conf., 2013, pp. 1-6
2. W. Xiao, A. Elnosh, V. Khadkikar, and H. Zeineldin, "Overview of maximum power point tracking technologies for photovoltaic power systems," in Proc. IEEE Ind. Electron. Soc. Conf., 2011, pp. 3900-3905
3. B. Subudhi and R. Pradhan. (2013, Jan.). A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Trans. Sustainable Energy. [Online]. 4(1), pp. 89-98. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber= 6249779
4. T. Esram and P. L.Chapman, "Comparison of photovoltaic arraymaximum power point tracking techniques," IEEE Trans. Energy Convers., vol. 22, no. 2, pp. 439-449, Jun. 2007
5. M. A. G. Brito, L. Galotto, L. P. Sampaio, G. Azevedo Melo, and C. A. Canesin, "Evaluation of the main MPPT techniques for photovoltaic applications," IEEE Trans. Ind. Electron., vol. 60, no. 3, pp. 1156-1167, Mar. 2013
6. A. Bidram, A. Davoudi, and R. S. Balog, "Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays," IEEE J. Photovoltaics, vol. 2, no. 4, pp. 532-546, Oct. 2012
7. H. Patel andV.Agarwal,"MATLAB-basedmodeling to study the effects of partial shading on PVarray characteristics," IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 302-310, Mar. 2008
8. P. Bakas, A. Marinopoulos, and B. Stridh. (2012, Jun.). Impact of PV module mismatch on the PV array energy yield and comparison of module, string and central MPPT. in Proc. IEEE Photovolt. Spec. Conf. [Online]. pp. 001393-001398. Available: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber= 6317859
9. G. Escobar, C. N. M. Ho, and S. Pettersson, "Maximum power point searching method for partial shaded PV strings," in Proc. IEEE Ind. Electron. Soc. Conf., 2012, pp. 5726-5731
10. H. Patel and V. Agarwal, "Maximum power point tracking scheme for PV systems operating under partially shaded conditions," IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1689-1698, Apr. 2008
11. N. Femia, G. Lisi, G. Petrone, G. Spagnuolo, and M. Vitelli, "Distributed maximum power point tracking of photovoltaic arrays: Novel approach and system analysis," IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2610-2621, Jul. 2008
12. S. Poshtkouhi, V. Palaniappan, M. Fard, and O. Trescases, "A general approach for quantifying the benefit of distributed power electronics for fine grained MPPT in photovoltaic applications using 3Dmodeling," IEEE Trans. Power Electron., vol. 27, no. 11, pp. 4656-4666, Nov. 2012
13. R. Alonso, E. Roman, A. Sanz,V. E.M. Santos, and P. Ibanez, "Analysis of inverter-voltage influence on distributed MPPT architecture performance," IEEE Trans. Ind. Electron., vol. 59, no. 10, pp. 3900-3907, Oct. 2012
14. L. Zhou, Y. Chen, K. Guo, and F. Jia, "New approach for MPPT control of photovoltaic system with mutative scale dual-carrier chaotic search," IEEE Trans. Power Electron., vol. 26, no. 4, pp. 1038-1048, Apr. 2011
15. P. Lei, Y. Li, and J. Seem, "Sequential ESC based global MPPT control for photovoltaic array with variable shading," IEEE Trans. Sustainable Energy, vol. 2, no. 3, pp. 348-358, Jul. 2011
16. E. Koutroulis and F. Blaabjerg, "A new technique for tracking the global maximum power point of PV arrays operating under partial-shading conditions," IEEE J. Photovoltaics, vol. 2, no. 2, pp. 184-190, Apr. 2012
17. B. Alajmi, K. Ahmed, S. Finney, and B.Williams, "Fuzzy logic controlled approach of a modified hill climbing method for maximum power point in microgrid stand-alone photovoltaic system," IEEE Trans. Power Electron., vol. 26, no. 4, pp. 1022-1030, Apr. 2011
18. M. Miyatake, T. Inada, I. Hiratsuka, Z. Hongyan, H. Otsuka, and M. Nakano, "Control characteristics of a fibonacci-search-based maximum power point tracker when a photovoltaic array is partially shaded," in Proc. Int. Power Electron. Motion Control Conf., 2004, vol. 2, pp. 816-821
19. M. Miyatake, M. Veerachary, F. Toriumi, N. Fujii, and H. Ko, "Maximum power point tracking of multiple photovoltaic arrays: A PSO approach," IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 367-380, Jan. 2011
20. R. Ramaprabha, B. Mathur, A. Ravi, and S. Aventhika, "Modified fibonacci search based MPPT scheme for SPVA under partial shaded conditions," in Proc. Int. Conf. Emerg. Trends Eng. Technol, 2010, pp. 379-384
21. A. Pandey, N. Dasgupta, and A.Mukerjee, "High-performance algorithms for drift avoidance and fast tracking in solar MPPT system," IEEE Trans. Energy Convers., vol. 23, no. 2, pp. 681-689, Jun. 2008
22. D. Sera, R. Teodorescu, J.Hantschel, andM.Knoll, "Optimized maximum power point tracker for fast-changing environmental conditions," IEEE Trans. Ind. Electron., vol. 55, no. 7, pp. 2629-2637, Jul. 2008
23. A. K. Abdelsalam, A. M. Massoud, S. Ahmed, and P. N. Enjeti, "High-performance adaptive perturb and observe MPPT technique for photovoltaic-based microgrids," IEEE Trans. Power Electron., vol. 26, no. 4, pp. 1010-1021, Apr. 2011
24. W.-S. Jwo, C.-C. Tong, and C.-J. Chao. (2010, Jun.). Firmware implementation of an adaptive solar cell maximum power point tracking based on PSoC. in Proc. IEEE Photovoltaic Spec. Conf. [Online]. pp. 000407-000411. Available: http://ieeexplore.ieee.org/lpdocs/epic03/ wrapper.htm?arnumber=5616803
25. K. Ishaque, Z. Salam, S. Mekhilef, and A. Shamsudin, "Parameter extraction of solar photovoltaic modules using penalty-based differential evolution," Appl. Energy, vol. 99, pp. 297-308, 2012
26. L. R. Chen, C. H. Tsai, Y. L. Lin, and Y. S. Lai, "A biological swarm chasing algorithm for tracking the PV maximum power point," IEEE Trans. Energy Convers., vol. 25, no. 2, pp. 484-493, Jun. 2010
27. L. Yi-Hwa, H. Shyh-Ching, H. Jia-Wei, and L. Wen-Cheng, "A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions," IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 1027-1035, Dec. 2012
28. 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
29. S. Kirkpatrick, D. J. Gelatt, andM. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983
30. V. Černy, "Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm," J. Optim. Theory Appl., vol. 45, no. 1, pp. 41-51, Jan. 1985
31. S.-I. Ao and L. Gelman, Electrical Engineering and Intelligent Systems. Dordrecht, The Netherlands: Springer, 2012
32. Y. A. Katsigiannis, P. S. Georgilakis, and E. S. Karapidakis, "Hybrid simulated annealing tabu search method for optimal sizing of autonomous power systems with renewables," IEEE Trans. Sustainable Energy, vol. 3, no. 3, pp. 330-338, Jul. 2012
33. Y.-M. Chen, C.-H. Lee, and H.-C. Wu, "Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealingmethod," IEEE Trans. EnergyConvers., vol. 20, no. 2, pp. 467-473, Jun. 2005
34. J. Mitra, "Application of computational intelligence in optimal expansion of distribution systems," in Proc. IEEE Power and Energy Soc.Gen.Meet., Jul. 2008, pp. 1-8
35. Y. Yang,W. Pei, and Z. Qi, "Optimal sizing of renewable energy and CHP hybrid energy microgrid system," in Proc. IEEE PES Innov. Smart Grid Technol., May 2012, pp. 1-5
36. T. Sutthibun and P. Bhasaputra, "Multi-objective optimal distributed generation placement using simulated annealing," in Proc. Int. Conf. Electr. Eng./Electron. Comput. Telecommun. Inf. Technol., 2010, pp. 810-813
37. A. K. Barnes, J. C. Balda, A. Escobar-Mejia, and S.O.Geurin, "Placement of energy storage coordinated with smart PVinverters," in Proc. IEEE PES Innov. Smart Grid Technol., Jan. 2012, pp. 1-7
38. V. Evangelin Jeba, S. Ravichandran, and R. Kumudini Devi, "Optimal control of grid connected variable speed wind energy conversion system," in Proc. Int. Conf. Energy Efficient Technol. Sustainability, Apr. 2013, pp. 393-399
39. D. L. Anton, S. L. Garrison, M. Gorensek, S. R. Sherman, R. Carapellucci, and L. Giordano, "Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systems," Int. J. Hydrogen Energy, vol. 37, no. 3, pp. 2081-2093, 2012
40. M. A. Azam, S. Abdullah-Nahid, M. A. Kabir, and S. M. H. Chowdhury, "Microcontroller based maximum power tracking of PV using stimulated annealing algorithm," in Proc. Int. Conf. Informat. Electron. Vis., May 2012, pp. 298-303
41. S. A.-H. Soliman and A.-A. H. Mantawy, Modern Optimization Techniques With Applications in Electric Power Systems. Dordrecht, The Netherlands: Springer, 2011
42. B. McCallum, "Blind deconvolution by simulated annealing," Opt. Commun., vol. 75, no. 2, pp. 101-105, 1990
43. J. Ohtsubo and K. Nakajima, "Image recovery by simulated annealing with known Fourier modulus," Opt. Commun., vol. 86, no. 3, pp. 265-270, 1991
44. K. Wong and C. Fung, "Simulated annealing based economic dispatch algorithm," IEE Proc., Gener., Transmiss. Distrib., vol. 140, no. 6, pp. 509-515, 1993
45. M. A. Elgendy, B. Zahawi, and D. J. Atkinson, "Assessment of perturb and observe MPPT algorithm implementation techniques for PV pumping applications," IEEE Trans. Sustainable Energy, vol. 3, no. 1, pp. 21-33, Jan. 2012
46. G. Zapfel, R. Braune, and M. Bogl, Metaheuristic Search Concepts: A Tutorial With Applications to Production and Logistics. Dordrecht, The Netherlands: Springer, 2010
47. D. L. Poole and A. K. Mackworth, Artificial Intelligence: Foundations of Computational Agents. Cambridge, U.K.: Cambridge Univ. Press, 2010
48. A. Chatterjee, A. Keyhani, and D. Kapoor, " Identification of photovoltaic source models," IEEE Trans. Energy Convers., vol. 26, no. 3, pp. 883-889, Sep. 2011
49. M. G. Villalva, J. R. Gazoli, and E. R. Filho, "Comprehensive approach to modeling and simulation of photovoltaic arrays," IEEE Trans. Power Electron., vol. 24, no. 5, pp. 1198-1208, 2009
50. BP 380 80 W photovoltaic module datasheet. [Online]. Available: http://www.solarcharge.com.au/docs/off-grid-solar-panel-BP-80-Watt.pdf
51. Bureau of Meteoroloy. (2012). One Minute Solar Data. [Online]. Available: http://www.bom.gov.au/climate/data/oneminsolar/about-IDCJAC0022.shtml
52. K. Ishaque, Z. Salam, M. Amjad, and S. Mekhilef, "An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady state oscillation," IEEE Trans. Power Electron., vol. 27, no. 8, pp. 3627-3638, Aug. 2012
53. S. Moballegh and J. Jiang, "Modeling, prediction, and experimental validations of power peaks of PV arrays under partial shading conditions," IEEE Trans. Sustainable Energy, vol. 5, no. 1, pp. 293-300, Jan. 2014
54. D. C. Jones and R. W. Erickson, "Probabilistic analysis of a generalized perturb and observe algorithm featuring robust operation in the presence of power curve traps," IEEE Trans. Power Electron., vol. 28, no. 6, pp. 2912-2926, Jun. 2013