Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Control of a Novel PV Tracking System Considering the Shadow Influence

  • Ko, Jae-Sub (Dept. of Electric Control Engineering, Sunchon national Univ.) ;
  • Chung, Dong-Hwa (Dept. of Electric Control Engineering, Sunchon national Univ.)
  • Received : 2011.01.04
  • Accepted : 2012.03.15
  • Published : 2012.07.01
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Abstract

This paper proposes a novel control strategy of a PV tracking system considering the shadow influence. If distance of between PV arrays is not enough, shadow can be occurred to PV module. In PV system, if shadow is occurred to PV modules then PV modules operates reverses bias, and will eventually cause hot-spot and loss. To reduce loss by shadow influence, this paper proposes shadow compensation algorithm using distance between arrays and shadow length of array. The distance between arrays is calculated by using azimuth of solar, and length of array shadow is calculated using by altitude of solar. The shadow compensation algorithm proposed in this paper compares distance between arrays and length of array shadow. When the shadow length is longer than the distance between arrays, the algorithm adjusts altitude of array to avoid the shadow effects. The control algorithm proposed in this paper proves validity through compared with conventional algorithm and proposes experiment result.

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References

  1. H. J. Noh, D. Y. LEE, D. S. Hyun, "An improved MPPT converter with current compensation method for small scaled PV-applications", IEEE IES, Vol.2 (2002), pp. 1113-1118.
  2. R. Andoubi, A. Mami, G. Dauphin, M. Annabi, "Bond graph modelling and dynamic study of a photovoltaic system using MPPT buck-boost converter", IEEE ICS, Vol. 3(2002), pp. 200-205.
  3. W. A. Lynch, M. Salameh, "Simple eletro-optically controlled dual axis sun tracker", Solar Energy, Vol. 45(1990), pp. 65-69. https://doi.org/10.1016/0038-092X(90)90029-C
  4. E. A. barber, H. A. Ingley, C. A. Morrison, " A solar powered tracking device for driving concentrating collectors", Alternative Energy Source, Vol. 1(1997), pp. 527-539.
  5. B. P. Edwards, "Computer based sun following system", Solar Energy, Vol. 21(1998), PP. 491-496.
  6. J. J. Michalsky, 1988, "The astronomical almanac' s algorithm for approximate solar position (1950-2050)", Solar Energy, Vol. 40, No. 3, 227-235. https://doi.org/10.1016/0038-092X(88)90045-X
  7. L. L. Vant-Hull, A. F. Hildebrandt, 1976, " Solar thermal power system based on optical transmission", Solar Energy 18, 31-39. https://doi.org/10.1016/0038-092X(76)90033-5

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