Abstract
This paper deals with the design, simulation and real-time implementation of Maximum Power Point Tracking (MPPT) technique for a Photovoltaic (PV) system. A new modified Incremental Conductance (INC) algorithm is proposed to extract maximum power from PV panels at different levels of temperature and solar irradiation. The considered PV system consists of a PV panel, a DC-DC boost converter controlled by MPPT algorithm and a resistive load. First, the simulation tests of the proposed algorithm using Matlab/Simulink environment are presented, and then, followed by a real-time implementation using Arduino Mega board and a specific package known as ``Simulink support package for arduino hardware'' to validate experimentally the~simulation tests. Simulation and experimental results show that the proposed modified INC algorithm offers much less oscillation around the Maximum Power Point (MPP), fast dynamic response and better performances compared to the conventional INC algorithm.
Highlights
The demand for electrical energy has increased, and so the effects of its production, such as the global warming and pollution
Many Maximum Power Point Tracking (MPPT) control algorithms have been developed since the 1970s, among which we can cite the conventional controllers such as Hill Climbing (HC) [9] and [10], Perturb and Observe (P&O) [11] and [12] and Incremental Conductance (INC) [13] and [14]
In order to verify the validity and effectiveness of the proposed modified incremental conductance algorithm, simulation tests have been carried out on a PV system using the Simulink model shown in Fig. 5 and the parameters given in Tab. 1
Summary
The demand for electrical energy has increased, and so the effects of its production, such as the global warming and pollution. PV panels offer a very competitive solution since they directly convert sunlight into electrical energy without any noise pollution and do not involve any moving part [4] Their main drawbacks are the low efficiency and their nonlinear power-voltage characteristic which depends on atmospheric conditions, solar irradiation and temperature [5] and [6]. The second shortcoming of conventional INC algorithm lies in the fact that it fails to make the right decision when the solar irradiation changes suddenly from low to high In this respect, the algorithm increases the duty cycle instead of decreasing it which leads to a loss of power. The paper is organized as follows: Section 2.
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