scholarly journals Backstepping Terminal Sliding Mode MPPT Controller for Photovoltaic Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 7060-7067
Author(s):  
K. Behih ◽  
H. Attoui
Keyword(s):  
Sliding Mode ◽  
Tracking Error ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Array ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Terminal Sliding Mode ◽  
Point Tracking ◽  
Mppt Controller

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.

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.

Grid Tied Photovoltaic System with Perturb and Observe Maximum Power Point Controller and LCL Filter

2018 ◽  
Vol 7 (3.6) ◽  
pp. 68
Author(s):  
Ramana Pilla ◽  
Jallu Hareesh Kumar ◽  
Adavipalli Chandana
Keyword(s):  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Array ◽  
Pv System ◽  
Maximum Power Point ◽  
Lcl Filter ◽  
Point Tracking ◽  
Perturb And Observe ◽  
Power Point

This paper describes a grid tied photovoltaic (PV) system along with maximum power point tracking (MPPT) and LCL filter. A PV model is developed using mathematical equations of solar cell. This PV module is controlled and optimized with MPPT algorithm. The maximum power point (MPP) tracking is implemented using Perturb and Observe (P&O) algorithm from the solar array and given to DC-DC boost converter. The enhancement of unfettered PV Voltage is achieved using boost converter and also used to verify the               precision of MPPT technique. Using inverter controller, the boost converter DC output voltage is converted into AC voltage. The phase and frequency of the grid is tracked using phase locked loop (PLL) to integrate the inverter with the grid. In addition to this, to diminish the harmonics in the inverter output an LCL filter is used. The performance of grid tied photovoltaic system is extensively simulated with MATLAB software.   

Modeling and Simulation of Grid Connected PV Generation System Using Matlab/Simulink

2017 ◽  
Vol 8 (1) ◽  
pp. 392 ◽  
Author(s):  
Omar Mohammed Benaissa ◽  
Samir Hadjeri ◽  
Sid Ahmed Zidi
Keyword(s):  
Cell Model ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
External Temperature ◽  
Point Tracking ◽  
Pv Cell ◽  
Power Point ◽  
Grid Side

<span lang="EN-US">This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.</span>

scholarly journals An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

2018 ◽  
Vol 7 (4.35) ◽  
pp. 457
Author(s):  
M. I. Iman ◽  
M. F. Roslan ◽  
Pin Jern Ker ◽  
M. A. Hannan
Keyword(s):  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

Real-Time Digital Simulation and Analysis of Sliding Mode and P&O MPPT Algorithms for a PV System

2015 ◽  
Vol 16 (4) ◽  
pp. 313-322 ◽  
Author(s):  
Venkata Ratnam Kolluru ◽  
Kamalakanta Mahapatra ◽  
Bidyadhar Subudhi
Keyword(s):  
Steady State ◽  
Real Time ◽  
Sliding Mode ◽  
Boost Converter ◽  
Maximum Power ◽  
Sliding Mode Controller ◽  
Step Size ◽  
Pv System ◽  
Steady State Condition ◽  
Power Extraction

Abstract This paper presents an integral Sliding Mode Controller (SMC) of a DC-DC boost converter integrated with a photovoltaic (PV) system for maximum power extraction. In view of improving the steady-state performance of the maximum power point tracking (MPPT), an integral of the error term is included in the sliding surface. The output of PV panels is connected to a DC-DC boost converter to regulate and enhance the voltage up to a desired level. By using SMC with integral term, the steady-state condition is obtained at less than 0.1 sec. With the proposed ISMC MPPT the maximum power extracted is more than 10% than the traditional Perturb & Observe (P&O) MPPT at standard test conditions (STC). The results obtained using the SMC are compared with that of the fixed step size P&O MPPT controller. The performances of the proposed sliding mode controller and the P&O controller are validated through experimentations using a Real-Time Digital Simulator (RTDS)-Opal RT.

scholarly journals A Novel Two Stage Controller for a DC-DC Boost Converter to Harvest Maximum Energy from the PV Power Generation

Actuators ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Asma Charaabi ◽  
Oscar Barambones ◽  
Abdelaziz Zaidi ◽  
Nadia Zanzouri
Keyword(s):  
Sliding Mode ◽  
Maximum Energy ◽  
Boost Converter ◽  
Resistive Load ◽  
Atmospheric Conditions ◽  
Two Stage ◽  
Control Approach ◽  
Point Tracking ◽  
Power Point ◽  
Set Up

In this article, an efficient and fast two-stage approach for controlling DC-DC boost converter using non linear sliding mode controller for a PV power plant is proposed. The control approach is based on two online methods instead of using the conventional combination of online and offline methods to harvest maximum energy and deliver an output PV voltage with reduced ripples. The proposed two-stage maximum power point tracking (MPPT) control can be integrated into many applications such as hybrid electric vehicles. Simulation results compared with the standard approaches P&O prove the tracking efficiency of the proposed method under fast changing atmospheric conditions of an average 99.87% and a reduced average ripple of 0.06. The two-stage MPPT control was implemented involving the embedded dSPACE DSP in comparison to the classical P&O to prove the efficiency and the validity of the control scheme. The experimental set-up system was carried out on boost converter and programmable DC electronic resistive load to highlights the robustness of the proposed controller against atmospheric changes and parametric variation.

scholarly journals Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2541
Author(s):  
Vasantharaj Subramanian ◽  
Vairavasundaram Indragandhi ◽  
Ramya Kuppusamy ◽  
Yuvaraja Teekaraman
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Environmental Changes ◽  
Maximum Power ◽  
Circuit Parameter ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

Due to the easiness of setup and great energy efficiency, direct current (DC) microgrids (MGs) have become more common. Solar photovoltaic (PV) and fuel cell (FC) systems drive the DC MG. Under varying irradiance and temperature, this work proposes a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) approach deployed to PV panel and FC generated boost converter. PV panels must be operated at their maximum power point (MPP) to enhance efficiency and shorten the system’s payback period. There are different kinds of MPPT approaches for using PV panels at that moment. Still, the FLC-based MPPT approach was chosen in this study because it responds instantaneously to environmental changes and is unaffected by circuit parameter changes. Similarly, this research proposes a better design strategy for FLC systems. It will improve the system reliability and stability of the response of the system. An FLC evaluates PV and FC via DC–DC boost converters to obtain this enhanced response time and accuracy.

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