Open AccessImproved strategy of an MPPT based on the sliding mode control for a PV system
Author(s) -
Abderrahim Taouni,
Abdelwahed Touati,
Radouane Majdoul
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i3.pp3074-3085
Subject(s) - maximum power point tracking , photovoltaic system , duty cycle , control theory (sociology) , maximum power principle , computer science , controller (irrigation) , sliding mode control , matlab , buck converter , boost converter , voltage , engineering , nonlinear system , control (management) , physics , inverter , biology , electrical engineering , agronomy , artificial intelligence , quantum mechanics , operating system
The energy produced using a photovoltaic (PV) is mainly dependent on weather factors such as temperature and solar radiation. Given the high cost and low yield of a PV system, it must operate at maximum power point (MPP), which varies according to changes in load and weather conditions. This contribution presents an improved maximum power point tracking (MPPT) controllers of a PV system in various climatic conditions. The first is a sliding mode MPPT that designed to be applied to a buck converter in order to achieve an optimal PV array output voltage. The second MPPT is based on the incremental conductance algorithm or Perturb-and-Observe algorithm. It provides the output reference PV voltage to the sliding mode controller acting on the duty cycle of the DC-DC converter. Simulation is carried out in SimPower toolbox of Matlab/Simulink. Simulation results confirm the effectiveness of the sliding mode control MPPT under the parameter variation environments and shown that the controllers meet its objectives.