DocumentCode
2015859
Title
Improved deterministic real-time estimation of Maximum Power Point in photovoltaic power systems
Author
Maharjan, Salish ; Peng, Jimmy C. H. ; Weidong Xiao
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates
fYear
2015
fDate
1-4 Feb. 2015
Firstpage
1
Lastpage
6
Abstract
Heuristic tracking algorithms are commonly adopted for Maximum Power Point Tracking (MPPT), which generates oscillations around the Maximum Power Point (MPP) of the PV array. Alternative solution using deterministic curve-fitting approach is proposed in this paper to locate the MPP accurately. The non-linear PV curve is approximated by a polynomial equation, of which the coefficients can be identified in real time by using a recursive methodology with variable forgetting factors. This method is named as Recursive Estimation with Variable Forgetting Factor (REVFF). Thus, the tracking accuracy is improved without the perturbation of PV voltage. The proposed system and control scheme are implemented and verified by simulation.
Keywords
curve fitting; maximum power point trackers; nonlinear control systems; photovoltaic power systems; recursive estimation; solar cell arrays; voltage control; MPPT improved deterministic real-time estimation; PV array; PV voltage perturbation control scheme; REVFF; deterministic curve fitting approach; heuristic tracking algorithm; maximum power point tracking; nonlinear PV curve; photovoltaic power system; polynomial equation; recursive estimation with variable forgetting factor; Least squares approximations; Mathematical model; Polynomials; Radiation effects; Real-time systems; Temperature; Newton Raphson method; Recursive least square; boost converter; forgetting factor; polynomial coefficient estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th
Conference_Location
Muscat
Type
conf
DOI
10.1109/IEEEGCC.2015.7060077
Filename
7060077
Link To Document