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Register a new userDesigning of high-efficiency DC-DC converter of photovoltaic system
تصميم نموذج لمبدل DC-DC عالي الفعالية خاص بالنظام الكهروضوئي
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ريما عيسى( باحث )
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تقدم هذه المقالة محاكاة لنموذج جديد مطور للمبدل DC-DC الرافع الخاص بالنظام الكهروضوئي و الذي يقدم فعالية عالية عند مجال عريض لتغير جهد الدخل. تدرس هذه المقالة، أنظمة الحلقة المفتوحة و أنظمة الحلقة المغلقة للمبدل المطور. حيث تم إجراء المحاكاة باستخدام Matlab. تم عرض نتائج المحاكاة و مقارنة النتائج للمبدل المطور مع نتائج محاكاة المبدل التقليدي.
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.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.
References used
Shila B, Patel K. Matlab modeling and simulation of grid connecter solar photovoltaic system with boost converter. International Journal For Technological Research In Engineering ,May-2016,Vol 3, Issue 9, 2347 - 4718
Khajezadeh A; Ahmadipour A, Motlagh M. S. DC-DC CONVERTERS VIAMATLAB/SIMULINK. International Journal of Scientific & Engineering Research, 2014;Vol 5, Issue 10, 2229-5518
Blaabjerg F, Chen Z, Kjaer SB. Power electronics as efficient interface in dispersed power generation systems. IEEE Trans. Power Electronics, 2004; 19(5):1184-1194
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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.
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 ri
pple,
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.
This research is a study of a new control method of switching non-isolated
dc-dc boost converters used in Photovoltaic systems. This method is called
Sliding Mode Control (SMC), which is considered as an alternative to other
methods, to keep a sta
ble and constant output voltage by changing the input
voltage and load current. The analyzing method of the switching nonisolated
dc-dc boost converters using SMC shows the same complexity of
Clasic circuits, but it gives an increasing potential and a high-dynamic
response to ensure a constant output voltage reaches to 40volt by changing
the input voltage in the range (16-21volt) and the load (8-13Ω). Methods to
measure the accuracy, error, and efficiency of maximum power point
trackers (MPPT) have been identified and presented in a schematic way,
together with definitions of terms and calculations.
This paper offer a designed module for buck-boost DC-DC converter, able to solve
unsteady charging voltage problem, due to constant decreasing scale of transformers and
grid or solar panel voltage drop, this module has been designed using fuzzy log
ic in PWM
control and simulated in matlab and all test and its results illustrated the suitable figure.
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
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