Open AccessComparative study of the reliability of MPPT algorithms for the crystalline silicon photovoltaic modules in variable weather conditions
Author(s) -
Abraham Dandoussou,
Martin Kampel,
L. Bouchet,
Patrice Wira,
Alexis Kuitché
Publication year - 2017
Publication title -
journal of electrical systems and information technology
Language(s) - English
Resource type - Journals
ISSN - 2314-7172
DOI - 10.1016/j.jesit.2016.08.008
Subject(s) - photovoltaic system , maximum power point tracking , crystalline silicon , reliability (semiconductor) , matlab , algorithm , hill climbing , maximum power principle , irradiance , power (physics) , computer science , electrical engineering , engineering , solar cell , physics , optics , voltage , inverter , quantum mechanics , operating system
International audienceThe crystalline silicon photovoltaic modules are widely used as power supply sources in the tropical areas where the weatherconditions change abruptly. Fortunately, many MPPT algorithms are implemented to improve their performance. In the other hand,it is well known that these power supply sources are nonlinear dipoles and so, their intrinsic parameters may vary with the irradianceand the temperature. In this paper, the MPPT algorithms widely used, i.e. Perturb and Observe (P&O), Incremental Conductance(INC), Hill-Climbing (HC), are implemented using Matlab®/Simulink®model of a crystalline silicon photovoltaic module whoseintrinsic parameters were extracted by fitting the I(V) characteristic to experimental points. Comparing the simulation results, itis obvious that the variable step size INC algorithm has the best reliability than both HC and P&O algorithms for the near to realSimulink®model of photovoltaic modules. With a 60 Wp photovoltaic module, the daily maximum power reaches 50.76 W against34.40 W when the photovoltaic parameters are fixed. Meanwhile, the daily average energy is 263 Wh/day against 195 Wh/day