scholarly journals Design and implementation of an improved sliding mode controller for maximum power point tracking in a SEPIC based on PV system

2019 ◽  
Vol 1 (4) ◽  
Author(s):  
Amir Shahdadi ◽  
S. Masoud Barakati ◽  
Ahmad Khajeh
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Pv System ◽  
Maximum Power Point ◽  
Design And Implementation ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Fixed- and variable-frequency sliding mode controller–maximum power point tracking converter for two-stage grid-integrated photovoltaic system employing nonlinear loads with power quality improvement features

2019 ◽  
Vol 52 (7-8) ◽  
pp. 896-912
Author(s):  
Ravichandran Chinnappan ◽  
Premalatha Logamani ◽  
Rengaraj Ramasubbu
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Active Power Filter ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Maximum Power Point ◽  
Power Filter ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This article presents a reliable and efficient photovoltaic sliding mode voltage-controlled maximum power point tracking DC-DC converter–active power filter integration system to supply real power to grid. This integrated active power filter system performs power quality enhancement features to compensate current harmonics to make distortion-free grid supply current and reactive power employing nonlinear loads. The proposed proportional–integral–derivative–based sliding mode controller is designed with fixed-frequency pulse-width modulation based on equivalent control approach. The main objective of this paper is to design a photovoltaic system with a new sliding surface to force the photovoltaic voltage to follow the reference maximum power point voltage with the alleviation of slow transient response and disadvantages of chattering effects of variable-frequency hysteresis modulation sliding mode controller–maximum power point tracking. The perturbations caused by the uncertainties in climatic conditions and converter output bulk oscillations during grid integration are also mitigated. The features of the proposed photovoltaic–active power filter integration system are confirmed at different operating conditions through PSIM simulation software, and its performance is also compared with a conventional variable-frequency sliding mode-controlled maximum power point tracking. The obtained simulation and experimental results give good dynamic response under various operating conditions of environmental and local load conditions.

Robust maximum power point tracking with a novel second order sliding mode controller

2020 ◽  
pp. 014233122096840
Author(s):  
Javad Jafari Fesharaki ◽  
Zahra Heydaran Daroogheh Amnyieh ◽  
Mohammad Jalal Rastegar Fatemi ◽  
Maryam Rastgarpour ◽  
Vahid Jafari Fesharaki
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Second Order ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Second Order Sliding Mode

This paper proposes a robust second order sliding mode controller as maximum power point tracking (MPPT) technique in a photovoltaic (PV) boost dc-dc converter with applications to stand-alone systems. The proposed method is independent respect to load type, robust against parametric uncertainties and disturbances. By Lyapunov theorem the asymptotic stability of the closed loop control system is proven. The proposed second order sliding mode controller is simulated with Matlab software and experimental set up in presence of sinusoidal disturbances on output voltage.

scholarly journals Maximum Power Point Tracking Based on Sliding Mode Control

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Nimrod Vázquez ◽  
Yuz Azaf ◽  
Ilse Cervantes ◽  
Eslí Vázquez ◽  
Claudia Hernández
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Good Choice ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Solar panels, which have become a good choice, are used to generate and supply electricity in commercial and residential applications. This generated power starts with the solar cells, which have a complex relationship between solar irradiation, temperature, and output power. For this reason a tracking of the maximum power point is required. Traditionally, this has been made by considering just current and voltage conditions at the photovoltaic panel; however, temperature also influences the process. In this paper the voltage, current, and temperature in the PV system are considered to be a part of a sliding surface for the proposed maximum power point tracking; this means a sliding mode controller is applied. Obtained results gave a good dynamic response, as a difference from traditional schemes, which are only based on computational algorithms. A traditional algorithm based on MPPT was added in order to assure a low steady state error.

scholarly journals Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7806
Author(s):  
Mohamed Derbeli ◽  
Cristian Napole ◽  
Oscar Barambones ◽  
Jesus Sanchez ◽  
Isidro Calvo ◽  
...  
Keyword(s):  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

Designing a new robust sliding mode controller for maximum power point tracking of photovoltaic cells

Solar Energy ◽  
2016 ◽  
Vol 132 ◽  
pp. 538-546 ◽  
Author(s):  
Mohammad Rasool Mojallizadeh ◽  
Mohammadali Badamchizadeh ◽  
Sohrab Khanmohammadi ◽  
Mehran Sabahi
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Chattering Free Adaptive Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5678
Author(s):  
Hina Gohar Ali ◽  
Ramon Vilanova Arbos
Keyword(s):  
Sliding Mode ◽  
Adaptive Controller ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Adaptive Sliding Mode Controller ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic system is utilized to generate energy that relies upon the ecological conditions, for example, temperature, irradiance, and the load associated with it. Considering the non-linear component of photovoltaic (PV) array and the issue of low effectiveness because of the variable natural conditions, the Maximum Power Point Tracking (MPPT) method is required to extract the maximum power from the PV system. The adopted control is executed utilizing an Adaptive Sliding Mode Controller (ASMC) and the enhancement is actualized utilizing an Improved Pattern Search Method (IPSM). This work employs IPSM based optimization approach in order to command the underlying ASMC controller. The upper level decision determines the sliding surface for the adaptive controller. As a non-linear strategy, the stability of the adaptive controller is guaranteed by conducting a Liapunov analysis. On the practical side, MATLAB/Simulink is used as simulator for the controller implementation and coupling with PSIM in order to connect it with the PV system object of control. The simulation results validate that the proposed controller effectively improves the voltage tracking, system power with reduced chattering effect and steady-state error. The performance of the proposed control architectures is validated by comparing the proposals with that of the well-known and widely used Proportional Integral Derivative (PID) controller. That operated as a lower level controller for a Perturb & Observe (P&O) and Particle Swarm Optimization (PSO).

Assessing Under Varying Circumstances the Behavior of Photovoltaic Systems of Maximum Power Point Methods.

2019 ◽  
Vol 1 (2) ◽  
pp. 45-51
Author(s):  
Imad A. Elzein ◽  
Yuri N. Petrenko
Keyword(s):  
Comparative Studies ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
System Output ◽  
Power Point ◽  
Design Simplicity

In this article an extended literature surveying review is conducted on a set of comparative studies of maximum power point tracking (MPPT) techniques.  Different MPPT methods are conducted with an ultimate aim of how to be maximizing the PV system output power by tracking Pmax in a set of different operational circumstances. In this paper maximum power point tracking, MPPT techniques are reviewed on basis of different parameters related to the design simplicity and or complexity, implementation, hardware required, and other related aspects.

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