scholarly journals MPPT of Magnus Wind System with DC Servo Drive for the Cylinders and Boost Converter

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Maro Jinbo ◽  
Felix Alberto Farret ◽  
Ghendy Cardoso Junior ◽  
Daniel Senter ◽  
Marcelo Franklin Lorensetti
Keyword(s):  
Synchronous Generator ◽  
Boost Converter ◽  
Maximum Power ◽  
Hill Climbing ◽  
Resistive Load ◽  
Wind System ◽  
Servo Drive ◽  
Point Tracking ◽  
Power Point ◽  
The One

This paper presents an algorithm MPPT (Maximum Power Point Tracking) for a Magnus wind system with a DC servo drive system (DC drive and BLDC motor) to rotate the turbine cylinders. The optimal cylinders rotation is the one to deliver the maximum power extracted from the wind tracked by fixed and adaptive step HCC (Hill Climbing Control) acting on the servo drive. The proposed wind system consists of a PMSG (Permanent Magnet Synchronous Generator), a three-phase diode rectifier, a DC/DC (boost) converter, and a resistive load. Furthermore, the boost converter acts with the fixed step HCC algorithm to track the maximum power operating point. Therefore, the MPPT for a Magnus wind system requires both tracking for the optimal cylinder speed and the optimal generator speed.

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 Análise Comparativa das Técnicas Clássicas de MPPT

2021 ◽  
Author(s):  
MIRéLI BINDER VENDRUSCOLO ◽  
ANTóNIO MANUEL SANTOS SPENCER ANDRADE
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

As características elétricas de rendimento e potência de um painel fotovoltaico (PV) são influenciadas por dois fatores climáticos, que são: irradiância solar e temperatura. Por essa razão, os algoritmos de MPPT (Maximum Power Point Tracking) são essenciais para se obter a máxima potência produzida. Portanto, este trabalho apresenta uma avaliação comparativa das principais técnicas clássicas de MPPT, sendo elas: Perturba e Observa (P&O), Hill Climbing (HC) e Condutância Incremental (InC). Para fazer essas avaliações de MPPT foram utilizados conversores estáticos CC-CC, tais como: Boost, Buck e Buck-Boost. No entanto, o MPPT é aplicado na entrada e saída dos conversores, a fim de observar o melhor desempenho. Os resultados de simulação são avaliados utilizado o software PSIM.

scholarly journals DC-DC Boost Converter Design for Fast and Accurate MPPT Algorithms in Stand-Alone Photovoltaic System

2018 ◽  
Vol 9 (3) ◽  
pp. 1038 ◽  
Author(s):  
Norazlan Hashim ◽  
Zainal Salam ◽  
Dalina Johari ◽  
Nik Fasdi Nik Ismail
Keyword(s):  
Solar Irradiance ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Hill Climbing ◽  
Duty Ratio ◽  
Maximum Power Point ◽  
Pv Module ◽  
Power Point ◽  
Main Components

<span>The main components of a Stand-Alone Photovoltaic (SAPV) system consists of PV array, DC-DC converter, load and the maximum power point tracking (MPPT) control algorithm. MPPT algorithm was used for extracting maximum available power from PV module under a particular environmental condition by controlling the duty ratio of DC-DC converter. Based on maximum power transfer theorem, by changing the duty cycle, the load resistance as seen by the source is varied and matched with the internal resistance of PV module at maximum power point (MPP) so as to transfer the maximum power. Under sudden changes in solar irradiance, the selection of MPPT algorithm’s sampling time (T<sub>S_MPPT</sub>) is very much depends on two main components of the converter circuit namely; inductor and capacitor. As the value of these components increases, the settling time of the transient response for PV voltage and current will also increase linearly. Consequently, T<sub>S_MPPT </sub>needs to be increased for accurate MPPT and therefore reduce the tracking speed. This work presents a design considerations of DC-DC Boost Converter used in SAPV system for fast and accurate MPPT algorithm. The conventional Hill Climbing (HC) algorithm has been applied to track the MPP when subjected to sudden changes in solar irradiance. By selecting the optimum value of the converter circuit components, a fast and accurate MPPT especially during sudden changes in irradiance has been realized.</span>

scholarly journals Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

2021 ◽  
Vol 03 (01) ◽  
pp. 53-62
Author(s):  
Mohammed Salah Bouakkaz ◽  
◽  
Ahcene Boukadoum ◽  
Omar Boudebbouz ◽  
Issam Attoui ◽  
...  
Keyword(s):  
Short Circuit ◽  
Maximum Power Point Tracking ◽  
Open Circuit ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

Modelling and Simulation of Boost Converter with Maximum Power Point Tracking (MPPT) for Photovoltaic Application

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Ahmad Shaharuddin Mat Su, ◽  
Rasli Abd Ghani ◽  
Slamet Slamet
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Proposed Model ◽  
Power Point

This paper presents the proposed model and simulation of a DC to DC converter with maximum power point tracking (MPPT) using fuzzy logic controller (FLC) for a standalone Photovoltaic (PV) System. This research will focus on the developing high performance DC to DC converter with fuzzy logic controller based to extract the maximum power that generated by the PV panel. The system composed of the PV array and DC-DC boost converter with MPPT system. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of IGBT switch of DC-DC boost converter. The proposed DC to DC converter is designed by using the Multisim software while the controller programme will be carried out by using the Matlab Simulink software. Pulse width modulation will be generated by the controller to trigger the IGBT gate. The performance of the proposed model is evaluated by the simulation and the result show that our proposed converter can convert more power from generated voltage. By using the fuzzy logic method to track the maximum power of the PV array, it is faster and the voltage is stable.

Optimum Solar Panel Implementation Using DC-DC Boost Converter Controlled by Fuzzy Logic Controller

2015 ◽  
Vol 793 ◽  
pp. 378-382 ◽  
Author(s):  
Nurul Afiqah Zainal ◽  
Sasikala A.P. Ganaisan ◽  
Ajisman
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Voltage Divider ◽  
Boost Converter ◽  
Solar Panel ◽  
Maximum Power ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Arduino Uno ◽  
Power Point

This paper proposes the implementation of a simple fuzzy logic controller (FLC) for a DC-DC boost converter based on a microcontroller to obtain maximum power from the solar system with the maximum power point tracking (MPPT) method. The system includes a solar panel, DC-DC boost converter, the fuzzy logic controller implemented on Arduino Uno for controlling on/off time of MOSFET of the boost converter, voltage divider and optocoupler circuit. This paper presents a fuzzy logic real time code in the Arduino language for ATmega328 microcontroller on the Arduino UNO board. The designed system increases the efficiency of the solar panel based on experimental results.

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>

Comparative Study of Two Different Converters with its Controller for Grid Connected WECS with PMSG

2019 ◽  
Vol 8 (2) ◽  
pp. 1-24
Author(s):  
Sasmita Behera ◽  
Matruprasad Jyotiranjan
Keyword(s):  
Power Quality ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Synchronous Generator ◽  
Electrical Energy ◽  
Maximum Power ◽  
Multilevel Inverter ◽  
Resistive Load ◽  
Power Extraction ◽  
Point Tracking

Wind is a source for generating clean and economical electrical energy with a proper harnessing mechanism. For a wind energy conversion system (WECS), maximum power extraction with optimum power quality is required. In this article, the grid power quality is enhanced, using a multilevel inverter which provides smoother and pure sinusoidal waves as compared to two-level inverter by decreasing total harmonic distortion (THD) in WECS with a permanent magnet synchronous generator (PMSG). Also, a maximum power point tracking (MPPT) algorithm is based on an optimal torque controller, employed to extract more power. In this study, a WECS with a PMSG connected to the local linear resistive load and grid is considered for simulation. A multilevel inverter grid interface is controlled by in phase disposition pulse width modulation (IPD – PWM). The multilevel inverter with MPPT has been acknowledged as superior to a normal two-level inverter without MPPT Controller. Simulation results as observed for fixed and variable wind speed including MPPT demonstrate benefits of the proposed method.

scholarly journals A maximum power point tracking technique using modified hill climbing (MHC) method in DC microgrid application

2020 ◽  
Author(s):  
Zaenal Efendi ◽  
Epyk Sunarno ◽  
Farid Dwi Murdianto ◽  
Rachma Prilian Eviningsih ◽  
Lucky Pradigta Setiya Raharja ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Hill Climbing ◽  
Maximum Power Point ◽  
Dc Microgrid ◽  
Tracking Technique ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point
Sign in / Sign up

Export Citation Format

Share Document