The research includes the main ideas, outline and
preliminary structure for designing the proposed thermal
hydraulic autonomic solar tracker.
Who enjoys the benefits outweigh known trackers, raising
yields and minimize energy expended, reduced vi
bration
through hydraulic movement. This makes the suggested
tracker outweigh the Clifford-Eastwood-Tracker.
Disadvantages of the proposed Tracker also much lower than
the disadvantages of known passive trackers for variable
intensity of solar radiation including the effect of clouds.
In the following study we make a simulation of an independent
photovoltaic system connected to an (ohm
- unit of electrical resistance) load which consists of the following
parts:
(Photovoltaic Module - Converter dc- dc - Control system to
track
ing the maximum power point via MATLAB & Simulink
program)
Taking advantage of equations of Photovoltaic Module we chart
the graph and simulate curves of the Module.
We also simulate the converter –type Cuk- which gives higher or
lower voltage than input voltage but with reversed polarity.
We also make a comparison between the two systems tracking:
the first tracker is a traditional one and the second one is a system
in which it uses a fuzzy logic tracker.
The results of the comparison shows different capacities taking into
consideration the varieties of weather conditions of regular solar
radiation as well as the partial shadow.
Such results showed that fuzzy logic has got more capability to
harmonize with all conditions especially in cases of low solar
radiation and partial shadow.
The limitations of global resources of fossil and nuclear fuel, has necessitated
an urgent search for alternative sources of energy. Therefore, a new way has to be
found to balance the supply and demand without resorting to coal and gas fuelled
ge
nerators.Environment safety has become very important for any energy system,
Increasing demand of conventional sources has further increases the need and
optimizes cost of non-conventional energy sources.
This paper has analyzed the development of a method for the mathematical
modeling of PV System.behavior of the PV Array with series resistance model are
studied in this paper. Included effects are: temperature dependence, solar radiation
change, diode ideality factor and series resistance influence,and shows the
mathematical modeling of stand-alone PV system and then compare withAnalysis
of Perturb and Observe MPPT and without MPPT simulation of photovoltaic
modules with Matlab/Simulink, And Calculate the increase in efficiency resulting
from the use of technology MPPT.
In this research the best investment for passenger trains on Homs
line - Tartous study through increased tractive mass and speed of
trains using photovoltaic cells and techniques of circuit absorbance
of the locomotive French LDE3200 been an incre
ase in the bloc
running reached by 4895% and speed by 6.25%, and without
modifying the lighting circuits and adapt composite vehicles,
providing the possibility of moving trains day and night.
The article studies the open loop
and closed loop systems for the improved converter. An improved
DC-DC boost converter is modeled and simulated using Matlab
R2013a.
The simulation and experimental results of the tow systems are
presented and co
mpared. The performance of the improved
converter is also compared with the conventional boost converter.The article studies the open loop
and closed loop systems for the improved converter. An improved
DC-DC boost converter is modeled and simulated using Matlab
R2013a.
The simulation and experimental results of the tow systems are
presented and compared. The performance of the improved
converter is also compared with the conventional boost converter.
This research presents a new methodology for the development of a controller based
on Artificial Neural Networks and Direct control method in order to obtain the maximum
available energy from Solar Photovoltaic (PV) Energy systems under different a
tmospheric
changes of the solar insolation and ambient temperature. In this context, this research
presents a new model for MPPT-ANN in order to track the Maximum Power Point of PV
systems in Matlab/Simulink environment. The developed controller is based on Feed
Forward Neural Network FFNN trained by Back-propagation algorithm of error to
determine the optimal voltage operation of the system PV system at different atmospheric
changes. This research also suggests, control algorithm based on the direct control method
in order to determine the duty cycle, which used to control directly the operating of DCDC
Voltage Converter, depending on a comparison of the difference between the output
voltage of PV system and the optimal voltage output of the neural network. The developed
controller MPPT-ANN based on a network FFNN, Characterized by fast speed to track of
MPP point and achieve high efficiency for the PV system under the atmospheric changes.
The simulation results completed in Matlab/Simulink environment, showed the best
performance of developed controller MPPT-ANN by achieving a better dynamic
performance and high accuracy when tracking the MPP, compared with the use of the
another PI-ANN controller based on artificial neural network and the conventional
Proportional-Integral Controller, and compared with the use of the conventional MPPTP&
O based on Perturb and Observe (P&O) technique under different atmospheric changes.
DC-DC converter is one of the most essential component for
efficient utilization in renewable energy sources.
The main goal of this paper is to use Maximum power point
tracking (MPPT) system and buck-boost DC/DC converter in the
photovoltaic (PV)
system to maximize the (PV) output power,
irrespective of the temperature and irradiation conditions.
The research problem is neglecting urban policies and construction
systems to use renewable energy within urban fabric, in particular
solar energy. And it aims to study the relationship between urban
morphology and solar energy potential and its r
ole in the
establishment of more suitable cities in terms of energy, and thus
guide the planning policies to increase utilization of solar energy
within cities.
The main goal of this search is to design maximum solar power batteries charging
system, Maximum power point tracking (MPPT) system is used in the photovoltaic (PV)
system consisting of a buck-boost Direct Current DC/DC converter, which is controll
ed by
a microcontroller unit, The microcontroller is programmed with a simple and reliable
MPPT called Incremental Conductance (InCond).
The designed battery charger was tested, and the results obtained had insured about
the permanent control on the battery charging.
Comparison study was done, with PWM solar charger controller, it was obvious by
The experimental results, that the battery get charged in a very short time period
considering of the solar sun light hours per day, and the characteristics of the used solar
panel, which confirm the reliable performance of the suggested charging system.
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.
