Publication | Open Access
High-Accuracy and Fast-Speed MPPT Methods for PV String Under Partially Shaded Conditions
219
Citations
36
References
2015
Year
Pv StringElectrical EngineeringEngineeringGlobal Mppt MethodsSolar PowerSolar Energy UtilisationBuilding-integrated PhotovoltaicsFast-speed Mppt MethodsRapid Global MpptRooftop PhotovoltaicsPhotovoltaic SystemPhotovoltaic Power StationRenewable Energy SystemsPhotovoltaicsPower SystemsPartially Shaded Conditions
The photovoltaic (PV) string under partially shaded conditions exhibits complex output characteristics, i.e., the current–voltage <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(I\mbox{--}V)$</tex-math></inline-formula> curve presents multiple current stairs, whereas the power–voltage <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(P\mbox{--}V)$</tex-math></inline-formula> curve shows multiple power peaks. Thus, the conventional maximum power point tracking (MPPT) method is not acceptable either on tracking accuracy or on tracking speed. In this paper, two global MPPT methods, namely, the search–skip–judge global MPPT (SSJ-GMPPT) and rapid global MPPT (R-GMPPT) methods are proposed in terms of reducing the searching voltage range based on comprehensive study of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$I\mbox{--}V$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$P\mbox{--}V$</tex-math></inline-formula> characteristics of PV string. The SSJ-GMPPT method can track the real maximum power point under any shading conditions and achieve high accuracy and fast tracking speed without additional circuits and sensors. The R-GMPPT method aims to enhance the tracking speed of long string with vast PV modules and reduces more than 90% of the tracking time that is consumed by the conventional global searching method. The improved performance of the two proposed methods has been validated by experimental results on a PV string. The comparison with other methods highlights the two proposed methods more powerful.
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