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Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition

Year 2015, Volume: 5 Issue: 4, 1252 - 1263, 01.12.2015

Subhashree Choudhury Pravat Kumar Rout

Abstract

Partial shading causes power loss, hotspots and threatens the reliability of the Photovoltaic generation system. Moreover characteristic curves exhibit multiple peaks. Conventional MPPT techniques under this condition often fail to give optimum MPP. Focusing on the afore mentioned problem an attempt has been made to design an Adaptive Takagi-Sugeno Fuzzy Inference System based Fuzzy Logic Control MPPT.The mathematical model of PV array is simulated using in MATLAB/Simulink environment.Various case studies related to inhomogeneous insolation and temperature has been investigated. For justifying the efficacy of the proposed MPPT technique a comparative analysis has been done with two popular MPPT techniques.

Keywords

Partial Shading; PV system; Maximum Power Point Tracking(MPPT); Takagi-Sugeno Fuzzy Interference System(TS-FIS); Fuzzy Logic Control(FLC);Total Harmonic Distortion(THD).

References

  • Doty, G., McCree, D., Doty, J., Doty, F., (2010) ‘Deployment prospects for proposed sustainable energy alternatives in 2020’, In: Proceedings of the ASME 2010 4th International Conference on Energy Sustainability, pp. 171–182.
  • Figueres, E., Garcera, G., Sandia, J., Gonzalez, E. F., Rubio, J.C., (2009) ‘Sensitivity study of the dynamics of three-phase photovoltaic inverters with an LCL grid filter’, IEEE Trans Ind Electron Mar. 2009;56(3):706e17. [3] Datta, M., Senjyu, T., Yona, A., Funabashi, T., Chul, H. K, (2009) ‘A coordinated control method for leveling PV output power fluctuations of PV-diesel hybrid systems connected to isolated power utility’, IEEE Trans Energy Convers Mar.2009;24(1):153e62.
  • Gaëtan, M., Marie, L., Manoël, R., (2013) ‘Theologitis IT, Myrto P. Global Market Out look For Photovoltaics 2013-2017’, In:Proceedings of the European Photovoltaic Industry Association,Belgium;2013.p.1–60.
  • Moradi, M.H., Reza Tousi, S.M., Nemati, M., SaadatBasir, N., Shalavi, N., (2013) ‘A robust hybrid method for maximum power point tracking in photovoltaic systems’, Sol. Energy 94, 266–276.
  • Tey, K.S., Mekhilef, S., (2014) ‘Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level’, Sol. Energy 101, 333–342.
  • Maki, A., Valkealahti, S.,(2012) ‘Power losses in long string and parallel-connected short strings of series- connected silicon-based photovoltaic modules due to partial shading conditions’, IEEE Trans Energy Convers 2012;27:173e83.
  • Martinez, M.F., Munoz, J., Lorenzo, E., (2010) ‘Experimental model to estimate shading losses on PV arrays’, Sol Energy Mater Sol Cells 2010; 94:2298e303.
  • Fangrui, L., Shanxu, D., Fei, L., Bangyin, L., Yong, K. (2008) ‘A variable step size INC MPPT method for PV systems’, IEEE Transactions on Industrial Electronics, Vol.:55, No.:7, pp: 2622–2628. [10]
  • Liu, C.X., and Liu, L.Q., (2009)‘Research into maximum power point tracking method of photovoltaic generate system’, in Proc. 2009 Int. Workshopon Intelligent Systems and Applications (ISA 2009), 2009. [11]
  • Petrone, G., Spagnuolo, G., Vitelli, M. (2011) ‘A multivariable perturb and observe maximum power point tracking technique applied to a single-stage photovoltaic inverter’, IEEE Transactions on Industrial Electronics, Vol.:58, pp:76–84.
  • Yang, B., Li, W., Zhao, Y., He, X. (2010) ‘Design and analysis of a grid connected photovoltaic power system’, IEEE Transactions on Power Electronics Vol.:25, pp:992–1000.
  • Patel, H., Agarwal, V. (2008) ‘Maximum power point tracking scheme for PV systems operating under partially shaded conditions’, IEEE Trans Ind Electron April 2008;55(4).
  • Ji, Y.H., Jung, D.Y., Kim, J.G., Kim, J.H., Lee, T.W., Won, C.Y., (2011) ‘A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions’, IEEE Trans Power Electron April 2011;26(4).
  • Kjaer, S.B., (2012) ‘Evaluation of the “hill climbing” and the “incremental conductance” maximum power point trackers for photovoltaic power systems’, IEEE Transactions on Energy Conversion Vol.:27, pp:922– 929.
  • Kish, G.J., Lee, J.J., Lehn, P.W., (2012) ‘Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking’, IET Renewable Power Generation, Vol.: 6, pp: 259–266.
  • Lei, P., Li, Y., Chen, Q., and Seem, J. E., (2010) ‘Extremum seeking control based integration of MPPT and degradation detection for photovoltaic arrays’, in Proc. 2010 Amer. Control Conf., submitted for publication.
  • Esram, T., Kimball, J.W., Krein, P.T., Chapman, P.L., Midya, P., (2006) ‘Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation control’, 2006;21(5):1282e91. Power Electron
  • Sep. [19] Liu, Y.-H., Liu, C.-L., Huang, J.-W., Chen, J.-H. (2013),‘Neural-network based maximum power point tracking methods for photovoltaic systems operating under fast changing environments’, Solar Energy Vol.:89, pp:42–53.
  • Salah, B.C., Ouali, M., (2011) ‘Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems’, Electric Power Systems Resarch, Vol.: 81, pp: 43–50.
  • Miyatake, M., Toriumi, F., Endo, T., Fujii, N., (2007) ‘A novel MPPT controlling several converters connected to PV arrays with PSO technique’, In: Proceedings of power electronics application European conference 2007. p. 1e10.
  • Rajesh, R., Mabel, M.C., (2014) ‘Efficiency analysis of a multi-fuzzy logic controller for the determination of operating points in a PV system’, Solar Energy Vol.: 99, pp;77–87.
  • Messai, A., Mellit, A., Guessoum, A., Kalogirou, S.A. (2011) ‘Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation’, Solar Energy Vol.:85, pp;265–277.
  • Chiu, C.-S. (2010) ‘T-S fuzzy maximum power point tracking control of solar power generation systems’, IEEE Transactions on Energy Conversion, Vol.: 25, pp: 1123–1132.
  • Qi, J., Zhang, Y., Chen, Y., (2014) ‘Modeling and maximum power point tracking (MPPT) method for PV array under partial shade conditions’, Renew. Energy 66, 337–345.
  • Ishaque, K., Salam, Z., (2013) ‘A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition’, Renew. Sustain. Energy Rev. 19, 475–488.
  • Salas, V., Olı´as, E., Barrado, A., La´zaro, A., (2006) ‘Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems’, Sol. Energy Mater. Sol. Cells 90 (11), 1555–1578.
  • Mamarelis, E., Petrone, G., Spagnuolo, G., (2014) ‘A two-steps algorithm improving the P&O steady state MPPT efficiency’, Appl. Energy 113, 414–421.
  • Makhlouf, M., Messai, F., Benalla H. (2012) ‘Modeling and
  • photovoltaic/battery
  • system’,Canadian Journal on Electrical and Electronics Engineering Vol. 3, No. 1, January 2012. hybrid distributed
  • generation [30] RezaReisi, A., Moradi, M.H., Jamasb, S. (2013) ‘Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review’, Renewable Sustainable Energy Reviews Vol.:19, pp: 433–443.
  • Berrera, M., Dolara, A., Leva, S. (2009) ‘Experimental test of seven widely adopted MPPT algorithms’, IEEE Bucharest Power Tech Conference’, June 28th – July 2nd, Bucharest, Romania.
  • Femia, N.; Petrone, G.; Spagnuolo, G.; Vitelli, M.,(2004) ‘Perturb and observe MPPT technique robustness improved’, IEEE International Symposium on Industrial Electronics, vol.2, pp. 845- 850, May 2004. [33] Kamel, R.M., Chaouachi, A., Nagasaka,
  • K. (2009)‘Design and implementation of various inverter controls to interface distributed generators (DGs) in micro grids’Conference on Energy System,Economy and Environment, Tokyo, pp. 60-64.
  • Houssamo, I., Locment, F., Sechilariu, M. (2013) ‘Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems’, International Journal of Electrical Power & Energy Systems,Volume 46, March 2013, pp:98–107.
  • Radjai, T., Rahmani, L., Mekhilef, L., Gaubert, J.P. (2014) ‘Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using Dspace’, Solar Energy Vol.:110, pp:325–337.
  • Altas, I.H., Sharaf, A.M. (2008) ‘A novel maximum power fuzzy logic controller for photovoltaic solar energy systems’, Renewable Energy, vol. 33, no.3, 2008, pp. 388-399.
  • Timothy, Ross, J. (2004)‘Fuzzy Logic with Engineering Applications’ second ed. John Wiley & Sons Ltd.

Year 2015, Volume: 5 Issue: 4, 1252 - 1263, 01.12.2015

Subhashree Choudhury Pravat Kumar Rout

Abstract

References

  • Doty, G., McCree, D., Doty, J., Doty, F., (2010) ‘Deployment prospects for proposed sustainable energy alternatives in 2020’, In: Proceedings of the ASME 2010 4th International Conference on Energy Sustainability, pp. 171–182.
  • Figueres, E., Garcera, G., Sandia, J., Gonzalez, E. F., Rubio, J.C., (2009) ‘Sensitivity study of the dynamics of three-phase photovoltaic inverters with an LCL grid filter’, IEEE Trans Ind Electron Mar. 2009;56(3):706e17. [3] Datta, M., Senjyu, T., Yona, A., Funabashi, T., Chul, H. K, (2009) ‘A coordinated control method for leveling PV output power fluctuations of PV-diesel hybrid systems connected to isolated power utility’, IEEE Trans Energy Convers Mar.2009;24(1):153e62.
  • Gaëtan, M., Marie, L., Manoël, R., (2013) ‘Theologitis IT, Myrto P. Global Market Out look For Photovoltaics 2013-2017’, In:Proceedings of the European Photovoltaic Industry Association,Belgium;2013.p.1–60.
  • Moradi, M.H., Reza Tousi, S.M., Nemati, M., SaadatBasir, N., Shalavi, N., (2013) ‘A robust hybrid method for maximum power point tracking in photovoltaic systems’, Sol. Energy 94, 266–276.
  • Tey, K.S., Mekhilef, S., (2014) ‘Modified incremental conductance MPPT algorithm to mitigate inaccurate responses under fast-changing solar irradiation level’, Sol. Energy 101, 333–342.
  • Maki, A., Valkealahti, S.,(2012) ‘Power losses in long string and parallel-connected short strings of series- connected silicon-based photovoltaic modules due to partial shading conditions’, IEEE Trans Energy Convers 2012;27:173e83.
  • Martinez, M.F., Munoz, J., Lorenzo, E., (2010) ‘Experimental model to estimate shading losses on PV arrays’, Sol Energy Mater Sol Cells 2010; 94:2298e303.
  • Fangrui, L., Shanxu, D., Fei, L., Bangyin, L., Yong, K. (2008) ‘A variable step size INC MPPT method for PV systems’, IEEE Transactions on Industrial Electronics, Vol.:55, No.:7, pp: 2622–2628. [10]
  • Liu, C.X., and Liu, L.Q., (2009)‘Research into maximum power point tracking method of photovoltaic generate system’, in Proc. 2009 Int. Workshopon Intelligent Systems and Applications (ISA 2009), 2009. [11]
  • Petrone, G., Spagnuolo, G., Vitelli, M. (2011) ‘A multivariable perturb and observe maximum power point tracking technique applied to a single-stage photovoltaic inverter’, IEEE Transactions on Industrial Electronics, Vol.:58, pp:76–84.
  • Yang, B., Li, W., Zhao, Y., He, X. (2010) ‘Design and analysis of a grid connected photovoltaic power system’, IEEE Transactions on Power Electronics Vol.:25, pp:992–1000.
  • Patel, H., Agarwal, V. (2008) ‘Maximum power point tracking scheme for PV systems operating under partially shaded conditions’, IEEE Trans Ind Electron April 2008;55(4).
  • Ji, Y.H., Jung, D.Y., Kim, J.G., Kim, J.H., Lee, T.W., Won, C.Y., (2011) ‘A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions’, IEEE Trans Power Electron April 2011;26(4).
  • Kjaer, S.B., (2012) ‘Evaluation of the “hill climbing” and the “incremental conductance” maximum power point trackers for photovoltaic power systems’, IEEE Transactions on Energy Conversion Vol.:27, pp:922– 929.
  • Kish, G.J., Lee, J.J., Lehn, P.W., (2012) ‘Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking’, IET Renewable Power Generation, Vol.: 6, pp: 259–266.
  • Lei, P., Li, Y., Chen, Q., and Seem, J. E., (2010) ‘Extremum seeking control based integration of MPPT and degradation detection for photovoltaic arrays’, in Proc. 2010 Amer. Control Conf., submitted for publication.
  • Esram, T., Kimball, J.W., Krein, P.T., Chapman, P.L., Midya, P., (2006) ‘Dynamic maximum power point tracking of photovoltaic arrays using ripple correlation control’, 2006;21(5):1282e91. Power Electron
  • Sep. [19] Liu, Y.-H., Liu, C.-L., Huang, J.-W., Chen, J.-H. (2013),‘Neural-network based maximum power point tracking methods for photovoltaic systems operating under fast changing environments’, Solar Energy Vol.:89, pp:42–53.
  • Salah, B.C., Ouali, M., (2011) ‘Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems’, Electric Power Systems Resarch, Vol.: 81, pp: 43–50.
  • Miyatake, M., Toriumi, F., Endo, T., Fujii, N., (2007) ‘A novel MPPT controlling several converters connected to PV arrays with PSO technique’, In: Proceedings of power electronics application European conference 2007. p. 1e10.
  • Rajesh, R., Mabel, M.C., (2014) ‘Efficiency analysis of a multi-fuzzy logic controller for the determination of operating points in a PV system’, Solar Energy Vol.: 99, pp;77–87.
  • Messai, A., Mellit, A., Guessoum, A., Kalogirou, S.A. (2011) ‘Maximum power point tracking using a GA optimized fuzzy logic controller and its FPGA implementation’, Solar Energy Vol.:85, pp;265–277.
  • Chiu, C.-S. (2010) ‘T-S fuzzy maximum power point tracking control of solar power generation systems’, IEEE Transactions on Energy Conversion, Vol.: 25, pp: 1123–1132.
  • Qi, J., Zhang, Y., Chen, Y., (2014) ‘Modeling and maximum power point tracking (MPPT) method for PV array under partial shade conditions’, Renew. Energy 66, 337–345.
  • Ishaque, K., Salam, Z., (2013) ‘A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition’, Renew. Sustain. Energy Rev. 19, 475–488.
  • Salas, V., Olı´as, E., Barrado, A., La´zaro, A., (2006) ‘Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems’, Sol. Energy Mater. Sol. Cells 90 (11), 1555–1578.
  • Mamarelis, E., Petrone, G., Spagnuolo, G., (2014) ‘A two-steps algorithm improving the P&O steady state MPPT efficiency’, Appl. Energy 113, 414–421.
  • Makhlouf, M., Messai, F., Benalla H. (2012) ‘Modeling and
  • photovoltaic/battery
  • system’,Canadian Journal on Electrical and Electronics Engineering Vol. 3, No. 1, January 2012. hybrid distributed
  • generation [30] RezaReisi, A., Moradi, M.H., Jamasb, S. (2013) ‘Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review’, Renewable Sustainable Energy Reviews Vol.:19, pp: 433–443.
  • Berrera, M., Dolara, A., Leva, S. (2009) ‘Experimental test of seven widely adopted MPPT algorithms’, IEEE Bucharest Power Tech Conference’, June 28th – July 2nd, Bucharest, Romania.
  • Femia, N.; Petrone, G.; Spagnuolo, G.; Vitelli, M.,(2004) ‘Perturb and observe MPPT technique robustness improved’, IEEE International Symposium on Industrial Electronics, vol.2, pp. 845- 850, May 2004. [33] Kamel, R.M., Chaouachi, A., Nagasaka,
  • K. (2009)‘Design and implementation of various inverter controls to interface distributed generators (DGs) in micro grids’Conference on Energy System,Economy and Environment, Tokyo, pp. 60-64.
  • Houssamo, I., Locment, F., Sechilariu, M. (2013) ‘Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems’, International Journal of Electrical Power & Energy Systems,Volume 46, March 2013, pp:98–107.
  • Radjai, T., Rahmani, L., Mekhilef, L., Gaubert, J.P. (2014) ‘Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using Dspace’, Solar Energy Vol.:110, pp:325–337.
  • Altas, I.H., Sharaf, A.M. (2008) ‘A novel maximum power fuzzy logic controller for photovoltaic solar energy systems’, Renewable Energy, vol. 33, no.3, 2008, pp. 388-399.
  • Timothy, Ross, J. (2004)‘Fuzzy Logic with Engineering Applications’ second ed. John Wiley & Sons Ltd.
There are 38 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Subhashree Choudhury This is me

Pravat Kumar Rout This is me

Publication Date December 1, 2015
Published in Issue Year 2015 Volume: 5 Issue: 4

Cite

APA Choudhury, S., & Rout, P. K. (2015). Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research, 5(4), 1252-1263.
AMA Choudhury S, Rout PK. Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research. December 2015;5(4):1252-1263.
Chicago Choudhury, Subhashree, and Pravat Kumar Rout. “Adaptive Fuzzy Logic Based MPPT Control for PV System Under Partial Shading Condition”. International Journal Of Renewable Energy Research 5, no. 4 (December 2015): 1252-63.
EndNote Choudhury S, Rout PK (December 1, 2015) Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research 5 4 1252–1263.
IEEE S. Choudhury and P. K. Rout, “Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition”, International Journal Of Renewable Energy Research, vol. 5, no. 4, pp. 1252–1263, 2015.
ISNAD Choudhury, Subhashree - Rout, Pravat Kumar. “Adaptive Fuzzy Logic Based MPPT Control for PV System Under Partial Shading Condition”. International Journal Of Renewable Energy Research 5/4 (December 2015), 1252-1263.
JAMA Choudhury S, Rout PK. Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research. 2015;5:1252–1263.
MLA Choudhury, Subhashree and Pravat Kumar Rout. “Adaptive Fuzzy Logic Based MPPT Control for PV System Under Partial Shading Condition”. International Journal Of Renewable Energy Research, vol. 5, no. 4, 2015, pp. 1252-63.
Vancouver Choudhury S, Rout PK. Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal Of Renewable Energy Research. 2015;5(4):1252-63.