FPGA Based Maximum Power Point Tracker of Partially Shaded Solar Photovoltaic Arrays using Modified Adaptive Perceptive Particle Swarm Optimization

[1]E. Koutroulis, K. Kalaitzakis, and N. C. Voulgaris, “Development of a microcontroller-based photovoltaic maximum power point tracking control system,” IEEE Transactions on Power Electronics, vol. 16, no. 1, pp. 46–54, Jan. 2001.10.1109/63.903988Search in Google Scholar

[2]K. H. Hussein and I. Muta, “Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions,” Proceedings of IEE Generation, Transmission and Distribution, vol. 142, no. 1, pp. 59–64, Jan. 1995.10.1049/ip-gtd:19951577Search in Google Scholar

[3]S. Jain and V.Agarwal, “A new algorithm for rapid tracking of approximate maximum power point in photovoltaics systems,” IEEE Power Electronics Letters, vol. 2, no. 1, pp. 16–19, Mar. 2004.10.1109/LPEL.2004.828444Search in Google Scholar

[4]G. Walker, “Evaluating MPPT converter topologies using a MATLAB PV model”, Journal of Electrical and Electronics Engineering, Australia, Vol. 21, No.1, pp. 16-19, Mar. 2001.Search in Google Scholar

[5]M.C. Alonso-Gracia, J.M. Ruiz, F. Chenlo, “Experimental study of mismatch and shading effects in the I–V characteristic of a photovoltaic module”, Solar Energy Materials and Solar Cells, Vol. 90, No. 3, pp. 329-340, Feb. 2006.10.1016/j.solmat.2005.04.022Search in Google Scholar

[6]H. Kawamura, K. Naka, N. Yonekura, S. Yamanaka, H. Ohno, K. Naito, “Simulation of the I-V characteristics of a PV module with PV shaded PV cells”, Solar Energy Materials and Solar Cells, Vol. 75, No. 3-4, pp. 613-621, Feb. 2003.10.1016/S0927-0248(02)00134-4Search in Google Scholar

[7]M. Shechter, J. Appelbaum and G. Yekutieli, “Quality factor of solar cell arrays”, Solar Cells, 9(1983) 295-309.10.1016/0379-6787(83)90024-8Search in Google Scholar

[8]H. Saha, G. Bhattacharya, D. Mukherjee, “Mismatch losses in series combinations of silicon solar cell modules”, Solar Cells, 25(1988) 143-153.10.1016/0379-6787(88)90018-XSearch in Google Scholar

[9]T.J. Lambarski, D.L. Kadle, C.B. Rogers, “Effects of cell sorting and module matching on array output”, Proceedings of 15^th Photovoltaic Specialist Conference, pp. 841, Florida, New York, 1981.Search in Google Scholar

[10]E.C. Kern, E.M. Gulachenski, G.A. Kern, “Cloud effects on distributed photovoltaic generation: Slow transients at the Gardner, Masachusetts photovoltaic experiment”, IEEE Transactions on Energy Conversion, Vol. 4, No. 2, pp. 184-190, Jun. 1989.10.1109/60.17910Search in Google Scholar

[11]F. Giraud, Z. Salameh, “Analysis of the effects of a passing cloud on a grid interactive photovoltaic system with battery storage using neural networks”, IEEE Transactions on Energy Conversion, Vol. 14, No. 4, pp. 1572-1577, Dec. 1999.Search in Google Scholar

[12]M.G. Jahoori, M.M. Saied, A.R. Hanafy, “A contribution to the simulation and design optimization of photovoltaic system”, IEEE Transactions on Energy Conversion, Vol. 6, No. 3, pp. 401-406, Sep. 1991.10.1109/60.84313Search in Google Scholar

[13]O. Wasynzuck, “Dynamic behavior of a class of photovoltaic power systems”, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-102, No. 9, pp. 3031-3037, Sep. 1983.Search in Google Scholar

[14]P. Huynh, B.H. Cho, “Design and analysis of a microprocessor controlled peak power tracking system”, IEEE Transactions on Aerospace Electronic Systems, Vol. AES-32, No. 1, pp. 182-190, Jan 1996.10.1109/7.481260Search in Google Scholar

[15]K. Hussein, I. Muta, T. Hoshino, M. Osakada, “Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions”, IEE Proceedings of Generation, Transmission and Distribution, Vol. 142, No. 1, pp. 59-64, Jan. 1995.10.1049/ip-gtd:19951577Search in Google Scholar

[16]Shantharama Rai C. et al, “A novel technique for Photovoltaic Maximum Power Point Tracking System”, in Proceedings of EPE 2005, No. 286, 2005.Search in Google Scholar

[17]N. Kasa, T. Lida, L. Chen, “Flyback Inverter controlled by Sensorless Current MPPT for Photovoltaic Power System”, IEEE Transactions on Industrial Electronics, Vol. 52, No. 4, pp. 1145-1152, Aug. 2005.Search in Google Scholar

[18]N. Femia et al, “Optimization of perturb and observe maximum power point tracking method”, IEEE Transaction on Power Electronics, Vol. 20, No. 4, pp. 963-973, 2005.10.1109/TPEL.2005.850975Search in Google Scholar

[19]M. Veerachary, “Power tracking for non linear PV sources with Coupled Inductor SEPIC Converter”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 41(3), pp. 1019-1029, 2005.Search in Google Scholar

[20]Joung Hu Park et al, “Dual module based Maximum Power Point tracking control of Photovoltaic systems”, IEEE Transactions on Industrial Electronics, Vol. 53, No. 4, pp. 1036-47, 2006.Search in Google Scholar

[21]E.V. Solodovnik, S. Liu, and R.A. Dougal, “Power Controller Design for Maximum Power Point Tracking in Solar Insolations”, Vol. 19, No. 5, pp. 1295-1304, Sept. 2004.Search in Google Scholar

[22]S. Maity, “MPPT tracking of solar cells”, P.G. dissertation, Department of Electronics and Telecommunication, Bengal Engineering and Science University, Shibpur, 2005.Search in Google Scholar

[23]M. Bodur and M. Ermis, “Maximum Power Point Tracking for Low Power Photovoltaic Solar Panels”, in Proceedings of 7^th Mediterranean Electrotechnical Conference, 1994, pp. 758-761.Search in Google Scholar

[24]K. Kobayashi, I. Takano and Y. Sawada, “A study on a two stage maximum power point tracking control of a photovoltaic system under partially shaded insolation conditions”, in Proceedings of IEEE Power Engineering Society General Meeting 2003, Vol. 4, 2003.Search in Google Scholar

[25]A. Kajihara and T. Harakawa, “On considerations of equivalent model about PV cell under partial shading” Proceedings of Japan Industry Applications Society Conference IEE of Japan, Vol. 1, No. 71, pp. I 289-292, Fukui, 2005.Search in Google Scholar

[26]M.A. Abido, “Optimal design of power system stabilizers using particle swarm optimization”, IEEE Transactions on Energy Conversion Vol. 17 No. 3, pp. 406–413, 2002.10.1109/TEC.2002.801992Search in Google Scholar

[27]D.K. Agrafiotis and W. Cedeno, “Feature selection for structure–activity correlation using binary particle swarms”, Journal of Medicinal Chemistry Vol. 45 No. 5, pp. 1098–1107, 2002.Search in Google Scholar

[28]C. Fourie and A.A. Groenwold, “The particle swarm optimization algorithm in size and shape optimization”, Structural Multidisciplinary Optimization Vol. 23, pp. 259–267, 2002.10.1007/s00158-002-0188-0Search in Google Scholar

[29]C.O. Ourique, E.C. Biscaia and J. Carlos Pinto, “The use of particle swarm optimization for dynamical analysis in chemical processes”, Computers and Chemical Engineering Vol. 26, pp. 1783–1793, 2002.Search in Google Scholar

[30]K.E. Parsopoulos and M.N. Vrahatis, “Recent approaches to global optimization problems through particle swarm optimization”, Natural Computing Vol. 1 No. 2–3, pp. 235–306, 2002.10.1023/A:1016568309421Search in Google Scholar

[31]K.E. Parsopoulos and M.N. Vrahatis, “On the computation of all global minimizers through particle swarm optimization”, IEEE Transactions on Evolutionary Computation Vol. 8 No. 3, pp. 211–224, 2004.10.1109/TEVC.2004.826076Search in Google Scholar

[32]K.E. Parsopoulos, E.I. Papageorgiou, P.P. Groumpos and M.N. Vrahatis, “Evolutionary computation techniques for optimizing fuzzy cognitive maps in radiation therapy systems”, Lecture Notes in Computer Science Vol. 3102, pp. 402–413, 2004.Search in Google Scholar

[33]K.E. Parsopoulos and M.N. Vrahatis, “Unified particle swarm optimization in dynamic environments”, Lecture Notes in Computer Science Vol. 3449, pp. 590–599, 2005.Search in Google Scholar

[34]T. Ray and K.M. Liew, “A swarm metaphor for multiobjective design optimization”, Engineering Optimization Vol. 34 No. 2, pp. 141–153, 2002.10.1080/03052150210915Search in Google Scholar

[35]K.E. Parsopoulos and M.N. Vrahatis, “UPSO: A unified particle swarm optimization scheme”, Proceedings of the International Conference of Computational Methods in Sciences and Engineering ICCMSE 2004, Lecture Series on Computer and Computational Sciences Vol. 1, VSP International Science Publishers, Zeist, The Netherlands, pp. 868–873, 2004.10.1201/9780429081385-222Search in Google Scholar

[36]K.E. Parsopoulos and M.N. Vrahatis, “Parameter selection and adaptation in Unified Particle Swarm Optimization”, Mathematical and Computer Modelling, Vol. 46, No. 1-2, pp.198-213, 2007.10.1016/j.mcm.2006.12.019Search in Google Scholar

[37]R. Kathiravan and R. Ganguli, “Strength design of composite beam using gradient and particle swarm optimization”, Composite Structures, Vol. 81, No. 4, pp. 471-479, 2007.10.1016/j.compstruct.2006.09.007Search in Google Scholar

[38]S. Suresh, P.B. Sujit and A.K. Rao, “Particle swarm optimization approach for multi-objective composite box-beam design”, Composite Structures, Vol. 81, No. 4, pp. 598-605, 2007.10.1016/j.compstruct.2006.10.008Search in Google Scholar

[39]H. Feng, C. Chen, F. Ye, “Evolutionary fuzzy particle optimization vector quantization learning in image compression”, Expert Systems with Applications, Vol. 32, pp. 213-222, 2007.10.1016/j.eswa.2005.11.012Search in Google Scholar

[40]E. Bonabeau, M. Dorigo and G. Théraulaz, From Natural to Artificial Swarm Intelligence, Oxford University Press, New York, 1999.10.1093/oso/9780195131581.001.0001Search in Google Scholar

[41]J. Kennedy and R.C. Eberhart, Swarm Intelligence, Morgan Kaufmann, 2001.Search in Google Scholar

[42]M. Miyatake, F. Toriumi, T. Endo and N. Fuiji, “A novel Maximum Power Point Tracker controlling several converters connected to Photovoltaic arrays with Particle Swarm Optimization”, Proceedings of European Conference on Power Electronics and Applications 2007, pp. 1-10, 2007.10.1109/EPE.2007.4417640Search in Google Scholar

[43]B. Kaewkamnerdpong and P. Bentley, “Perceptive Particle Swarm Optimization: An investigation”, Proceedings of IEEE Symposium on Swarm Intelligence, IEEE CS Press, Vol. 1, No. 1, pp 8-10, 2005.Search in Google Scholar

[44]S. Roy Chowdhury, D. Chakrabarti, H. Saha, “Medical Diagnosis using Adaptive Perceptive Particle Swarm Optimization and its hardware realization using Field Programmable Gate Array”, Journal of Medical Systems, Vol. 33, No. 6, pp. 447-465, 2009.10.1007/s10916-008-9206-020052897Search in Google Scholar

[45]S. Roy Chowdhury, H. Saha, “Maximum Powerpoint Tracking of Solar Photovoltaic Arrays using Adaptive Perceptive Particle Swarm Optimization Technique”, 18^th Photovoltaic Science Exhibition and Conference, PVSEC 18, Kolkata, January 19-23, 2009.Search in Google Scholar