The DC sources like fuel cells, solar cells, storage units need to
raise its output voltage in order to match load requirements. So often these systems are equipped with Power Electronics
techniques in general and DC-DC booster converters in partic
ular.
The paper provides the mathematical model and algorithm for
designing the booster converter with selected values in order to define the values of the most important parameters of its
components including inductor parameters. Based on the developed algorithm, a simulation of the system is conducted in MATLAB / Simulink environment to analyze the impact of changing the inductor inductance on booster performance.
Also the paper includes the mathematical model and algorithm for designing the booster inductor in terms of material, conductor type and shape of core and number of windings. Based on the design results, the inductor has been implemented completely in the laboratory. The inductance of the implemented inductor has been measured using a number of measuring methods to make sure of its value and match it with the theoretical values of design. Finally, the developed algorithm has been translated into a program in an environment Matlab / GUI , with which several computer tests have been performed.
This research deals with improving the efficiency of solar photovoltaic (PV) power
systems using a Fuzzy Logic Controller (FLC) for Maximum Power Point Tracking
(MPPT), to control the duty cycle of DC-DC Voltage Converter, to achieve the
photovolt
aic system works at a Maximum Power Point under different atmospheric
changes of the solar insolation and ambient temperature. In this context, this research
presents a new model for FLC developed in Matlab/Simulink environment. The proposed
model for the controller is based on the conventional Perturb and Observe (P&O)
technique. Where, in similar to the conventional P&O technique, the changes in the Power
and tension of photovoltaic power system, are considered as the input variables of the
proposed controller, while the output variable is the change in the duty cycle. The main
advantage of the developed controller FLC, based on the considering the change in the
duty cycle has a Variable Step Size, and directly related to the changes in the power and
tension of the Photovoltaic system. Which make it possible to overcome the problem of
fixed Step Size in the change of the duty cycle in the conventional MPPT- P&O Controller
based on P&O technique. The MPPT- P&O Fuzzy, works by a variable step size achieve a
fast speed response and high efficiency for tracking the MPP point under sudden and
rapidly varying atmospheric conditions, compared with the conventional MPPT- P&O. The
simulation results completed in Matlab/Simulink environment, showed the best
performance of developed MPPT- P&O Fuzzy controller in tracking the MPP by achieving
a better dynamic performance and high accuracy, compared with the use of the
conventional MPPT- P&O under different atmospheric changes.
This research deals with improving the efficiency of solar photovoltaic (PV) power
systems using a Maximum Power Point Tracker controller (MPPT controller), based in his
work on the Maximum Power Point Tracking techniques via the direct control met
hod.
Which used to control the duty cycle of DC-DC Voltage Converter, to achieve the
photovoltaic system works at a Maximum Power Point under different atmospheric
changes of the solar insolation and ambient temperature. In this context, our work is
focused on the simulation of the components of the power generating system, such as the
photovoltaic system, DC-DC Boost Converter and a MPPT controller in Matlab/Simulink
environment. The simulating of the MPPT controller was based on several algorithms such
as: Constant Voltage algorithm, Perturb and Observe algorithm and Incremental
Conductance algorithm by using Embedded MATLAB function. The simulation results
showed the effectiveness of the MPPT controller to increase the photovoltaic system power
compared with non-use of a MPPT controller. The results also showed the best
performance of MPPT controller based on Perturb and Observe and Incremental
Conductance algorithm, compared with constant voltage algorithm in tracking the
Maximum Power Point under atmospheric changes.
