Abstract
This paper proposes a novel Voltage-Based Maximum Power Point Tracking (MPPT) technique by introducing a new and simple tracking algorithm. Compared with other Voltage-Based MPPT methods which assume the optimal voltage factor as a constant parameter, in the proposed algorithm, the optimal voltage factor is instantaneously determined by a neural network. The proposed MPPT algorithm is applied to a Buck regulator to regulate the output power at its maximum possible value. Simulation results show the excellent MPPT performance in different temperatures and insulation levels during a day in a specific area.
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References
Zurada, J.M.: Introduction to Artificial Neural Systems. West publishing company
Torres, A.d.M., Antunes, F.L.M., Reis, F.S.d.: An Artificial Neural Network-Based Real Time Maximum Power Tracking controller for Connecting a PV System to the Grid, pp. 554–558. IEEE press, Los Alamitos (1998)
Hiyama, T.S., Kouzuma, S., Imakubo, T.: Identification of Optimal Operating Point of PV Modules using Neural Network for Real Time Maximum Power Tracking Control. IEEE Transactions on Energy Conversion 10(2), 360–367 (1995)
Premrudeepreechacham, S., Patanapirom, N.: Solar-Array Modeling and Maximum Power Point Tracking Using Neural Networks. In: IEEE Bologna PowerTech Conference, Italy (2003)
Lima, J.C., Medeiros, A., Canalli, V.M.: A PIC Controller for grid connected PV system, pp. 307–311. IEEE Press, Acapulco Mexico (2002)
Ghaisari, J., Habibi, M., Bakhshai, A.: An MPPT Controller Design for Photovoltaic (PV) Systems Based on the Optimal Voltage Factor Tracking. In: IEEE Electrical Power conferences, Canada (2007)
Masoum, M.A.S., Dehbonei, H., Fuchs, E.F.: Theoretical and Experimental Analyses of Photovoltaic Systems With Voltage- and Current-Based Maximum Power-Point Tracking. IEEE Transaction On Energy Conversion 17(4), 514–522 (2002)
Noguchi, T., Togashi, S., Nakamoto, R.: Short-Current Pulse-Based Maximum-Power-Point Tracking Method for Multiple Photovoltaic-and-Converter Module System. IEEE Transaction On Ind. Electronics 49(1), 217–223 (2002)
Walker, G.: Evaluating MPPT Converter topologies using a MATLAB PV model. University of Queensland, Australia
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© 2009 Springer-Verlag Berlin Heidelberg
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Habibi, M., Yazdizadeh, A. (2009). New MPPT Controller Design for PV Arrays Using Neural Networks (Zanjan City Case Study). In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_119
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DOI: https://doi.org/10.1007/978-3-642-01510-6_119
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01509-0
Online ISBN: 978-3-642-01510-6
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