Adaptive Partial Shading Determinant Algorithm for Solar Array Systems

Vol. 19, No. 6, pp. 1566-1574, Nov. 2019

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Maximum power point tracking (MPPT) under the partial shading condition is a challenging research topic for photovoltaic systems. Shaded photo-voltaic module result in complex peak patterns on the power versus voltage curve which can misguide classical MPPT algorithms. Thus, various kinds of global MPPT algorithms have been studied. These have typically consisted of partial shading detection, global peak search and MPPT. The conventional partial shading detection algorithm aims to detect all of the occurrences of partial shading. This results in excessive execution of global peak searches and discontinuous operation of the MPPT. This in turn, reduces the achievable power for the PV module. Based on a theoretical investigation of power verse voltage curve patterns under various partial shading conditions, it is realized that not all the occurrences of partial shadings require a global peak search. Thus, an intelligent partial shading detection algorithm that provides exact identification of global peak search necessity is essential for the efficient utilization of solar energy resources. This paper presents a new partial shading determinant algorithm utilizing adaptive threshold levels. Conventional methods tend to be too sensitive to sharp shading patterns but insensitive to smooth patterns. However, the proposed algorithm always shows superb performance, regardless of the partial shading patterns.

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Cite this article

[IEEE Style]

T. R. Wellawatta and S. Choi, "Adaptive Partial Shading Determinant Algorithm for Solar Array Systems," Journal of Power Electronics, vol. 19, no. 6, pp. 1566-1574, 2019. DOI: 10.6113/JPE.2019.19.6.1566.

[ACM Style]

Thusitha Randima Wellawatta and Sung-Jin Choi. 2019. Adaptive Partial Shading Determinant Algorithm for Solar Array Systems. Journal of Power Electronics, 19, 6, (2019), 1566-1574. DOI: 10.6113/JPE.2019.19.6.1566.