Author(s)

Abraham Dandoussou¹, Pierre Kenfack¹, Stève Ngoffe Perabi², Martin Kamta³

¹University of Buea, Department of Electrical and Power Engineering, Higher Technical Teachers’ Training College (HTTTC), Kumba, Cameroon.
²University of Douala, Department of Electrical Engineering and Industrial Computing, Institut Universitaire de Technologie, Douala, Cameroon.
³University of Ngaoundere, Department of Electrical Engineering, Energetic and Automation, National School of Agro-Industrial Sci-ences, Ngaoundere, Cameroon.

Maximum Power Point Tracking (MPPT) algorithms are now widely used in PV systems independently of the weather conditions. In function of the application, a DC-DC converter topology is chosen without any previous performance test under normal weather conditions. This paper proposes an experimental evaluation of MPPT algorithms according to DC-DC converters topologies, under normal operation conditions. Four widely used MPPT algorithms i.e. Perturb and Observe (P & O), Hill Climbing (HC), Fixed step Increment of Conductance (INCF) and Variable step Increment of Conductance (INCV) are implemented using two topologies of DC-DC converters i.e. buck and boost converters. As input variables to the PV systems, recorded irradiance and temperature, and extracted photovoltaic parameters (ideality factor, series resistance and reverse saturation current) were used. The obtained results show that buck converter has a lot of power losses when controlled by each of the four MPPT algorithms. Meanwhile, boost converter presents a stable output power during the whole day. Once more, the results show that INCV algorithm has the best performance.

MPPT Algorithms, DC-DC Converters, Photovoltaic Parameters, Normal Operating Conditions

Dandoussou, A. , Kenfack, P. , Perabi, S. and Kamta, M. (2021) Simulations of the Performance of Maximum Power Point Tracking Algorithms Based on Experimental Data According to the Topologies of DC-DC Converters. Journal of Power and Energy Engineering, 9, 76-92. doi: 10.4236/jpee.2021.95005.