A modified shuffled frog algorithm to improve MPPT controller in PV System with storage batteries under variable atmospheric conditions

2021 ◽  
Vol 112 ◽  
pp. 104831
Author(s):  
Abdallah Aldosary ◽  
Ziad M. Ali ◽  
Mohammed M. Alhaider ◽  
Mehrdad Ghahremani ◽  
Sajjad Dadfar ◽  
...  
2021 ◽  
Vol 11 (2) ◽  
pp. 7060-7067
Author(s):  
K. Behih ◽  
H. Attoui

In this paper, a new Maximum Power Point Tracking (MPPT) control for a Photovoltaic (PV) system is developed based on both backstepping and terminal sliding mode approaches. This system is composed of a solar array, a DC/DC boost converter, an MPPT controller, and an output load. The Backstepping Terminal Sliding Mode Controller (BTSMC) is used via a DC-DC boost converter to achieve maximum power output. The stability of the closed-loop system is guaranteed using the Lyapunov method. This novel approach provides good transient response, low tracking error, and very fast reaction against solar radiation and PV cell temperature variations. Furthermore, chattering, which constitutes the main disadvantage of the classic sliding mode technique is eliminated. To show the effectiveness and robustness of the proposed control, different simulations under different atmospheric conditions are conducted in Matlab/Simulink.


Author(s):  
Mostafa Ahmed ◽  
Mohamed Abdelrahem ◽  
Ahmed Farhan ◽  
Ibrahim Harbi ◽  
Ralph Kennel

AbstractSensorless strategies become very popular in modern control techniques because they increase the system reliability. Besides, they can be used as back-up control in case of sensor failure. In this paper, a DC-link sensorless control approach is developed, which is suited for grid-connected PV systems. The studied system is a two-stage PV scheme, where the DC–DC stage (boost converter) is controlled using an adaptive step-size perturb and observe (P&O) method. Further, the inverter control is accomplished by voltage oriented control (VOC). Generally, the VOC is implemented with two cascaded control loops, namely an outer voltage loop and an inner current loop. However, in this work, the outer loop is avoided and the reference current is generated using a losses model for the system. The losses model accounts for the most significant losses in the PV system. Moreover, particle swarm optimization (PSO) is utilized to compensate for the unmodeled losses. The PSO is executed offline for the purpose of calculation burden reduction. The proposed approach simplifies the cascaded VOC strategy and eliminates the DC-link voltage sensor, which in turn decreases the cost of the system. Finally, the proposed technique is compared with the conventional one at different atmospheric conditions and validated using MATLAB simulation results.


Author(s):  
Premkumar Manoharan ◽  
Karthick K ◽  
Sowmya R

<p>As electricity demand escalated with supply, though there are lot of thermal power station, nuclear energy and other conventional power sources. Yet, there is exhaustion in the above assets and adding dangerous impacts to the atmospheric conditions.  The world searches for sustainable power source that it is normally accessible such as sun and wind. Apart from all the renewable energy resources, solar energy is readily harnessed for domestic application to meet demand. To increase the power conversion efficiency from the solar PV system it is better have a perfect DC to DC converters. The proposed outcome of this paper is to outline the DC to DC converter with MPPT algorithms to concentrate on extreme productivity at roof-top for solar PV application which decreases the cost of energy. In addition to that it also prevents panel miss matching at all environmental conditions for safer DC Voltage with flexible site design especially for domestic applications from the solar photovoltaic module. It is necessary to analyze the converters and MPPT algorithms under closed loop condition for the design and installation of solar PV system to the load or to the grid. This review summarizes few DC to DC converter topologies, maximum power point tracking algorithm and also paid attention on the advantages and disadvantages of these algorithms and topologies.</p>


2020 ◽  
Vol 46 ◽  
pp. 715-723
Author(s):  
Hanane Yatimi ◽  
Youness Ouberri ◽  
Sara Chahid ◽  
Elhassan Aroudam
Keyword(s):  

2017 ◽  
Vol 13 (5) ◽  
pp. 2406-2416 ◽  
Author(s):  
Nishant Kumar ◽  
Ikhlaq Hussain ◽  
Bhim Singh ◽  
Bijaya Ketan Panigrahi

Sign in / Sign up

Export Citation Format

Share Document