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Analysis and research on maximum power point tracking of photovoltaic array with Fuzzy Logic Control and Three-point Weight Comparison Method

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Abstract

The Photovoltaic Array has a best optimal operating point where the array operating can obtain the maximum power. However, the optimal operating point can be compromised by the strength of solar radiation, angle, and by the change of environment and load. Due to the constant changes in these conditions, it has become very difficult to locate the optimal operating point by following a mathematical model. Therefore, this study will focus mostly on the application of Fuzzy Logic Control theory and Three-point Weight Comparison Method in effort to locate the optimal operating point of solar panel and achieve maximum efficiency in power generation.

The Three-point Weight Comparison Method is the comparison between the characteristic curves of the voltage of photovoltaic array and output power; it is a rather simple way to track the maximum power. The Fuzzy Logic Control, on the other hand, can be used to solve problems that cannot be effectively dealt with by calculation rules, such as concepts, contemplation, deductive reasoning, and identification. Therefore, this paper uses these two kinds of methods to make_simulation successively. The simulation results show that, the Three-point Comparison Method is more effective under the environment with more frequent change of solar radiation; however, the Fuzzy Logic Control has better tacking efficiency under the environment with violent change of solar radiation.

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References

  1. Wasynczuk O. Dynamic behavior of a class of photovoltaic power systems. IEEE Trans Power App Syst, 1983, 102: 3031–3037

    Article  Google Scholar 

  2. Hussein K H, Mota I. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. In: IEE Proc Generation, Transmission, and Distribution, 1995. 59–64

  3. Bekker B, Beukes H J. Finding an optimal PV panel maximum power point tracking method. In: 7th AFRICON Conf in Africa, 2004. 1125–1129

  4. Krachai M D, Abdelhamid M. High efficiency maximum power point tracking control in photovoltaic-grid connected plants. Acta Electrotechnica et Informatica, 2007, 7(1): 40–43

    Google Scholar 

  5. Jiang J A, Huang T L, Hsiao Y T, et al. Maximum power tracking for photovoltaic power systems. Tamkang J Sci Eng, 2005, 8(2): 147–153

    Google Scholar 

  6. Hussein K H, Muta I, Hoshino T, et al. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE ploc-Gener Transm Distrib, 1955, 142(1): 59–64

    Article  Google Scholar 

  7. http://www.ligitek-pv.com.tw

  8. Esram T, Chapman P L. Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. National Science Foundation ECS-01-34208, 2005

  9. Department of Electrical, Computer, and Energy Engineering at the University of Colorado at Boulder web site. http://ecee.colorado.edu/~ecen2060

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Correspondence to Chang-Chun Wang.

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Wang, CC., Wu, MC., Ou, SY. et al. Analysis and research on maximum power point tracking of photovoltaic array with Fuzzy Logic Control and Three-point Weight Comparison Method. Sci. China Technol. Sci. 53, 2183–2189 (2010). https://doi.org/10.1007/s11431-010-4024-2

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  • DOI: https://doi.org/10.1007/s11431-010-4024-2

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