This research deals with the modeling of a Multi-Layers Feed Forward Artificial Neural
Networks (MLFFNN), trained using Gradient Descent algorithm with Momentum factor &
adaptive learning rate, to estimate the output of the neural network correspon
ding to the
optimal Duty Cycle of DC-DC Boost Converter to track the Maximum Power Point of
Photovoltaic Energy Systems. Thus, the DMPPT-ANN “Developed MPPT-ANN”
controller proposed in this research, independent in his work on the use of electrical
measurements output of PV system to determine the duty cycle, and without the need to
use a Proportional-Integrative Controller to control the cycle of the work of the of DC-DC
Boost Converter, and this improves the dynamic performance of the proposed controller to
determine the optimal Duty Cycle accurately and quickly. In this context, this research
discusses the optimal selection of the proposed MLFFNN structure in the research in terms
of determining the optimum number of hidden layers and the optimal number of neurons in
them, evaluating the values of the Mean square error and the resulting Correlation
Coefficient after each training of the neural network. The final network model with the
optimal structure is then adopted to form the DMPPT-ANN Controller to track the MPP
point of the PV system. The simulation results performed in the Matlab / Simulink
environment demonstrated the best performance of the proposed DMPPT-ANN controller
based on the MLFFNN neural network model, by accurately estimating the Duty Cycle and
improving the response speed of the PV system output to MPP access, , as well as finally
eliminating the resulting oscillations in the steady state of the Power response curve of PV
system compared with the use of a number of reference controls: an advanced tracking
controller MPPT-ANN-PI based on ANN network to estimate MPP point voltage with
conventional PI controller, a MPPT-FLC and a conventional MPPT-INC uses the
Incremental Conductance technique INC
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.
It is the automatic control engineering knowledge forum, as it
should monitor and control the variables that interact in all
industrial processes to perform functions equipment installations
constructed for her. The automatic control system techno
logy has a
big role in easing the burden of daily life, and make them more
luxury. automatic control applications in most appliances, such as:
air conditioning and stoves, washing machines, etc.Automated
control concepts has been used in various areas of knowledge such
as biology, economics, sociology, medicine and education .
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 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 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.
Photovoltaic systems (PVs)offer an environmentally friendlysource of electricity;
however, up till now its price is still relatively high.Achieving the maximum power of
these systemsand maintaining it with lowest price in real applications is highl
y associated
with Maximum Power Point Tracking (MPPT) under different operation conditions.
This paper proposes the use of Genetic Algorithm (GA) for tracking maximum
power point depending on the solar cell model. GA gives, directly and precisely, the
optimal operating voltage (VOP) of the cell where the DC/DC converter will be adjusted
according to it based on the previous knowledge of the open circuit voltage (VOC) and
short circuit current (ISC) of the cell.
To validate the correctness and effectiveness of the proposed algorithm, MATLAB
R2010a programs for GA and PV system are written and incorporated together where the
series resistant of the cell is considered while the shunt resistant is neglected.
Simulation results of applying GA on different types of solar panels showedthe
possibilityof the accurateadjusting of the voltagetothe optimum valueand thusoperating the
systemat maximum power point.
This paper deals with the analysis and study of performance of solar panels, so we
choose working on the solar panel (module) MSX-50, in addition to improve his power by
tracking the maximum power point, this is done by using boost (step up) choppe
r to obtain
the largest possible capacity of solar panel.
We will determine a mathematical model equivalent to the real solar panel (not ideal)
through studying photovoltaic cells, where we will use the iterative method in addition to
the Newton-Raphson algorithm in order to determine the value serial resistance of module
Rs parallel resistance of module Rp.
As has been the implementation of perturbation and observation p&o algorithm in
addition studying and designing the circuit of step up (boost) chopper, and selection the
components (coil L, capacitor C), based on both the operation frequency f, ripple factor of
output voltage and output current .
Based on the our study, we have performed a modeling process of the solar module
MSX-50 using MATLAB/SIMULINK program, where we designed a graphical user
interface GUI to display the module characteristics and calculate resistance Rp and Rs, in
addition to build an algorithm p&o and design circuit of boost (step up) chopper.
The proposed model has been applied to the ohmic load according to the principle of
the maximum power point tracking MPPT, and discuss the results of two cases wich are
the following the solar module is connected directly to load, connected through chopper
driven by p&o algorithm.
This paper shows how to design and implement control circuit in the movement of
pv board to reach to maximal possible output, by designing a system to integrate several
methods of of control with each other. During this work, we will design through
formation
a unified system combine control by light sensors, and control via data base on the other
hand. In addition to compare pv angle in both ways. The proposed circuit designed,
conduct a simulation, and implementation a miniature model simulates reality, and
discussed the result to to conflict the advantage and the goal of using the proposed system.
All that by using micro controller (PIC).
