Abstract
By detection of input signal, Maximum Power Point Tracking (MPPT) algorithms are used to maximize the potential output power. Since Perturbation and Observe (P&O) method was first applied in a Photovoltaic (PV) system, a myriad of MPPT algorithms has been proposed. With the pros and cons of various MPPT algorithms, a detailed analysis of several typical direct search and module-integrated MPPT algorithms is presented in this paper. Directions of future work for implementing new MPPT algorithms are also outlined.
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60-Watt Multicrystalline Photovoltaic Module ovoltaic Module Datasheet. BP (2002)
Al-Amoudi, A., Zhang, L.: Optimal control of a grid-connected pv system for maximum power point tracking and unity power factor. In: Seventh International Conference on Power Electronics and Variable Speed Drives (Conf. Publ. No. 456), pp. 80–85 (September 1998)
Castaner, L., Silvestre, S.: Modelling Photovoltaic System using PSpice. John Wiley & Sons Inc. (2002)
Chen, L.R., Tsai, C.H., Lin, Y.L., Lai, Y.S.: A biological swarm chasing algorithm for tracking the pv maximum power point. IEEE Transactions on Energy Conversion 25(2), 484–493 (2010)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)
Foster, I., Kesselman, C.: Practical Optimization: Algorithms and Engineering Applications. Springer (2007)
Hua, C., Lin, J., Shen, C.: Implementation of a dsp-controlled photovoltaic system with peak power tracking. IEEE Transactions on Industrial Electronics 45(1), 99–107 (1998)
Hussein, K.H., Muta, I., Hoshino, T., Osakada, M.: Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proceedings Generation, Transmission and Distribution 142(1), 59–64 (1995)
Ishaque, K., Salam, Z., Syafaruddin: A comprehensive matlab simulink pv system simulator with partial shading capability based on two-diode model. Solar Energy 85(9), 2217–2227 (2011)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948 (November/December 1995)
Nguyen, D., Lehman, B.: An adaptive solar photovoltaic array using model-based reconfiguration algorithm. IEEE Transactions on Industrial Electronics 55(7), 2644–2654 (2008)
Oi, A.: Design and Simulation of Photovoltaic water pumping system. California Polytechnic State University (2009)
Salameh, Z., Taylor, D.: Step-up maximum power point tracker for photovoltaic arrays. Solar Energy 44(1), 57–61 (1990)
Salas, V., Olas, E., Barrado, A., Lzaro, A.: Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Solar Energy Materials and Solar Cells 90(11), 1555–1578 (2006)
Shao, R., Chang, L.: A new maximum power point tracking method for photovoltaic arrays using golden section search algorithm. In: Canadian Conference on Electrical and Computer Engineering, CCECE 2008, pp. 619–622 (May 2008)
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Ma, J. et al. (2012). Insight of Direct Search Methods and Module-Integrated Algorithms for Maximum Power Point Tracking (MPPT) of Stand-Alone Photovoltaic Systems. In: Park, J.J., Zomaya, A., Yeo, SS., Sahni, S. (eds) Network and Parallel Computing. NPC 2012. Lecture Notes in Computer Science, vol 7513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35606-3_55
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DOI: https://doi.org/10.1007/978-3-642-35606-3_55
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