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 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.

scholarly journals A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

2018 ◽  
Author(s):  
Abbas Kihal ◽  
Fateh Krim ◽  
Billel Talbi ◽  
Abdelbaset Laib ◽  
Abdeslem Sahli
Keyword(s):  
Control Strategy ◽  
Sliding Mode ◽  
Maximum Power Point ◽  
High Quality ◽  
Two Stage ◽  
Integral Sliding Mode ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Control Scheme ◽  
Power Point

This contribution considers an improved control scheme for three-phase two-stage grid-tied photovoltaic (PV) power system based on integral sliding mode control (ISMC) theory. The proposed control scheme consists of maximum power point tracking (MPPT), DC-Link voltage regulation and grid currents synchronization. A modified voltage-oriented maximum power point tracking (VO-MPPT) method based on ISMC theory is proposed for design of an enhanced MPPT under irradiation changes. Moreover, a novel DC-Link voltage control based on ISMC theory is proposed in order to achieve good regulation of DC-Link voltage over its reference. To inject the generated PV power into the grid with high quality, a voltage oriented control based on space vector modulation (SVM) and ISMC (VOC-ISMC-SVM) has been developed to control the grid currents synchronization. Numerical simulations are performed in Matlab/SimulinkTM environment in order to evaluate the proposed control strategy. In comparison with conventional control scheme, the developed control strategy provides an accurate MPP tracking with less power oscillation as well as a fast and an accurate DC-Link regulation under climatic conditions variations. Moreover, the transfer of the extracted power into the grid is achieved with high quality.

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 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 Performance improvement of the variable speed wind turbine driving a DFIG using nonlinear control strategies

2021 ◽  
Vol 12 (4) ◽  
pp. 2470
Author(s):  
Chojaa Hamid ◽  
A. Derouich ◽  
T. Hallabi ◽  
O. Zamzoum ◽  
M. Taoussi ◽  
...  
Keyword(s):  
Sliding Mode ◽  
Control Strategies ◽  
Dynamic Performance ◽  
Harmonic Distortion ◽  
Maximum Power ◽  
Control Approach ◽  
Pi Regulator ◽  
Point Tracking ◽  
Power Point ◽  
Doubly Fed

In this research paper, a nonlinear Backstepping controller has been proposed in order to improve the dynamic performance of a doubly fed induction generator (DFIG) based Wind Energy conversion System, connected to the grid through a back-to-back converter. Firstly, an overall modeling of proposed system has been presented. Thereafter, three control techniques namely backstepping (BSC), sliding mode (SMC) and field-oriented control (FOC) using a conventional PI regulator have been designed in order to control the stator active and reactive powers of the DFIG. In addition, the maximum power point tracking (MPPT) strategy has been investigated in this work with three mechanical speed controllers: BSC, SMC and PI controller with the aim of making a synthesis and a comparison between their performances to determine which of those three techniques is more efficient to extract the maximum power. Finally, a thorough comparison between the adopted techniques for the DFIG control has been established in terms of response time, rise time, total harmonic distortion THD (%) of the stator current, static errors and robustness. The effectiveness and robustness of each control approach has been implemented and tested under MATLAB/Simulink environment by using a 1.5 MW wind system model.

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