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Register a new userStudy the utilization of DC-DC converters ripple for maximum power point tracking in stand –alone solar photovoltaic systems
دراسة استثمار التموج في المبدلات DC/DC في ملاحقة نقطة الاستطاعة الأعظمية في النظم الكهروضوئية الشمسية المستقلة
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Tishreen University ورقة بحثية
Publication date
2015
fields
Technical Architecture
and research's language is
العربية
Created by
Shamra Editor
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يرتكز البحث على المرحلة الأولى DC/DC في النظام الكهروضوئي الشمسي، حيث تم استخدام تقنية الـتحكم المرتبط التموج RCC في ملاحقة نقطة الاستطاعة الأعظمية للمنظومات الكهروضوئية. تستفيد هذه التقنية من تموج الإشارة الموجود أصلاً في المبدلات DC/DC، حيث يُعامل هذا التموج كتغير يمكن الوصول منه إلى تقارب أمثلي. إن الميزة الأساسية لتقنية التحكم بعلاقة التموج (RCC) أنها تلاحق نقطة الاستطاعة العظمى ((MPP بسرعة و تحتاج إلى دارات تشابهية بسيطة و غير مكلفة لتطبيقاتها، و سيتم التحقق من صحة النتائج عملياً.
Search is based on the first stage DC/DC in the solar photovoltaic system, where it was appropriate to use Ripple Correlation Control method for tracking the maximum power point of photovoltaic arrays. The technique takes advantage of the signal ripple, which is automatically present in power converters, where the ripple is interpreted as a perturbation from which a gradient ascent optimization can be realized. The Basic feature of Ripple Correlation Control technique converges asymptotically at maximum speed to the maximum power point, and has simple circuit implementations. And will validate the results in practice.
References used
Bernal, P. Study and Development of a Photovoltaic Panel Simulator. Thesis for the degree of Master of Electrical and Computer Engineering, FEUP ( FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO), January 2012
Rahman , SH; Oni ,N; Abdullah Ibn Masud ,Q. Design of a Charge Controller Circuit with Maximum Power Point Tracker (MPPT) for Photovoltaic System. Thesis for the degree of Master in Electrical & Electronic Engineering, BRAC University, December 2012
Morales, D. Maximum Power Point Tracking Algorithms for Photovoltaic Applications. Thesis for the degree of Master of Science in Technology, Aalto University, Espoo 14.12.2010
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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 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.
This research introduce a detailed study of designing high efficiency
100W DC-DC Boost Converter for standalone photovoltaic system
and practical implementation of it’s circuit, by selecting the best
elements with less loss in power in the tow des
igns,to reach the best
efficiency by theoretical calculations and simulation in ORCA, and
compare the results with the practical implementation. Also this
research shows a study of effect of frequency variation on the
efficiency of the 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 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.
Fuzzy logic control is used to connect a photovoltaic system to the electrical grid by using three phase fully
controlled converter (inverter), This controller is going to track the maximum power point and inject the
maximum available power from th
e PV system to the grid by determining the trigger angle that must be
applied on the switches: Linguistic variables are going to be chosen to determine the amount of change in
the trigger angle of the inverter to track the maximum power.
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