scholarly journals Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Y. Chaibi ◽  
M. Salhi ◽  
A. El-jouni
Keyword(s):  
Sliding Mode ◽  
Electrical Energy ◽  
Maximum Power ◽  
Output Current ◽  
Pv System ◽  
Maximum Power Point ◽  
Control Approach ◽  
Point Tracking ◽  
Current Controller ◽  
Power Point

This paper presents a single-phase standalone photovoltaic (PV) system with two stages of converters. The aim of this work is to track the maximum power point (MPP) so as to transfer the maximum available power to the load and to control the output current in order to feed the AC load by a sinusoidal current. These goals are attained by using the sliding mode to design control laws in order to command the boost DC-DC and the inverter switches. Thus, a maximum power point tracking (MPPT) and an output current controller based on the sliding mode are proposed. The innovative aspect of this work is to propose a standalone PV system with the controllers based only on the sliding mode control approach. The proposed system is modeled and simulated under MATLAB Simulink under fast variations of irradiance and temperature. Then, the obtained results using the suggested MPPT are compared to those using the incremental conductance (IC) method. These results demonstrate the superiority of the sliding mode MPPT in terms of the tracking speed, the efficiency, and the time of response. Moreover, the current controller provides an output current of high quality with a THD of 3.47%. Furthermore, for accurate results, these controllers are evaluated under the fluctuations of two daily climatic profiles (sunny and cloudy) and compared those of the IC method. The results illustrate that the sliding mode MPPT has the potential of generating more electrical energy than the IC MPPT with benefits of up to 13.02% for the sunny daily profile and 27.57% for the cloudy one.

scholarly journals Non-Linear Sliding Mode Controller for Photovoltaic Panels with Maximum Power Point Tracking

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 108 ◽  
Author(s):  
Hina Gohar Ali ◽  
Ramon Vilanova Arbos ◽  
Jorge Herrera ◽  
Andrés Tobón ◽  
Julián Peláez-Restrepo
Keyword(s):  
Sliding Mode ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Control Scheme ◽  
Power Point

In this paper, nonlinear sliding mode control (SMC) techniques formulated for extracting maximum power from a solar photovoltaic (PV) system under variable environmental conditions employing the perturb and observe (P and O) maximum power point tracking (MPPT) technique are discussed. The PV system is connected with load through the boost converter. A mathematical model of the boost converter is derived first, and based on the derived model, a SMC is formulated to control the gating pulses of the boost converter switch. The closed loop system stability is verified through the Lyapunov stability theorem. The presented control scheme along with the solar PV system is simulated in MATLAB (matric laboratory) (SMC controller and PWM (Pulse Width Modulation) part) and PSIM (Power electronics simulations) (solar PV and MPPT algorithm) environments using the Simcoupler tool. The simulation results of the proposed controller (SMC) are compared with the classical proportional integral derivative (PID) control scheme, keeping system parameters and environmental parameters the same.

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.

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).

scholarly journals Efficiency Improvement by Using Solar Tracking System and Thermoelectric Generator

2021 ◽  
Author(s):  
Priyanka Jagtap ◽  
Shradha Kakade ◽  
Pooja Pawar ◽  
Swapnali Patil ◽  
Swapnil Pawar ◽  
...  
Keyword(s):  
Waste Heat ◽  
Tracking System ◽  
Electrical Energy ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

In this paper maximum power point tracker battery charger is proposed for extracting maximum power from a photovoltaic panel to charge the battery. The output power of the PV system continuously varies with change in irradiance and temperature. It is a very important to improve the efficiency of solar panel. There are number of maximum power point tracking (MPPT) methods available to operate the PV system at maximum power point. The proposed system has used perturb & observe (P&O) MPPT algorithm for the design and implementation. And also describes thermoelectric power generation from waste heat from PV panel, utilizing generators that can convert heat energy directly to electrical energy.

scholarly journals Robust maximum power point tracking control for photovoltaic system based on second order sliding-mode

2020 ◽  
Vol 9 (3) ◽  
pp. 284
Author(s):  
A. Fezzani ◽  
N. Bouarroudj ◽  
S. Drid ◽  
L. Zaghba
Keyword(s):  
Sliding Mode ◽  
Maximum Power Point Tracking ◽  
Second Order ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Control Approach ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Second Order Sliding Mode

<div data-canvas-width="397.1720469663374">This paper proposes a control approach of a maximum power point of a photovoltaic (PV) system using the second order sliding mode approach. The main objective of the proposed paper is to track the maximum power point (MPP) using super twisting algorithm (STA) with a one-loop control method and augment efficiency of the output power system. The structure of a proposed approach is simple and robust aging the atmospheric changes. Such control approach solution has several advantages such as simple implementation, robustness; reduce the chattering phenomenon and good dynamic response compared to traditional first-order sliding mode control algorithm. The controller circuit adapts the duty cycle of the switch electronic device of the DC/DC converter to search maximum power point tracking as a function of evolution of the power input. The effectiveness and feasibility of the proposed control are verified by simulation in MATLAB /Simulink environment and dSPACE-based hardware in loop platform.</div>

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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