scholarly journals Design and Simulation of MPPT Control Strategy for Solar PV by Using Fuzzy Control

2021 ◽  
Vol 23 (09) ◽  
pp. 1233-1240
Author(s):  
Abhishek Verma ◽  
◽  
Brahma Nand Thakur ◽  
Dr. Abhishek Verma ◽  
Dr. Anup Mishra ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Output ◽  
Solar Pv ◽  
Pv System ◽  
Software Environment ◽  
Pv Module ◽  
Control Command

This Paper presents the simulation of a solar PV module with a maximum power point tracking algorithm using fuzzy logic controller. MPPT can be done by using various methods like PI control and perturbation and observation method. For increasing the efficiency of solar PV it is necessary. Different methods are available to generate maximum power in different weather conditions. This model contains a PV module with DC- DC boost converter. The Fuzzy logic based is proposed in this method to increase the voltage PV module. The proposed method use the fuzzy logic control to initiate the control command of boost converter. . This work is all about the design of a control system to retrieve maximum output from the radiations and to get a better power quality without any harmonics and distortions. The PV system is developed and simulated with the help of MATLAB/ Simulink software environment.

Harvesting Maximum Power from Mismatch Module of PV System Using PO Buck-Boost Converter

2014 ◽  
Vol 953-954 ◽  
pp. 95-98
Author(s):  
Mohd Najib Mohd Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim
Keyword(s):  
Code Generation ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Development Environment ◽  
Model Based ◽  
Pv Module ◽  
Power Point

This paper presents a simulation and laboratory test of Photovoltaic (PV) module incorporated with Positive Output (PO) Buck-Boost Converter for harnessing maximum energy from the solar PV module. The main intention is to invent a system which can harvest maximum power point (MPP) energy of the PV system in string-connection. The model-based design of the controller and maximum power point tracking (MPPT) algorithm for the system were implemented using MATLAB SIMULINK software. For laboratory execution, the digital microcontroller of dsPIC30F digital signal controller (DSC) was used to control the prototype of PO buck-boost converter. The code generation via MPLAB Integrated Development Environment (IDE) from model-based design was embedded into the dsPIC30F using the SKds40A target board and PICkit 3 circuit debugger. The system was successfully simulated and verified by simulation and laboratory evaluations. A physical two PV module of PV-MF120EC3 Mitsubishi Electric is modeled in string connection to represent a mismatch module. While in laboratory process, a string-connection of 10W and 5W PV module is implemented for the mismatch module condition.

Modified Fuzzy Logic MPPT for PV System under Severe Climatic Profiles

2021 ◽  
Vol 4 (2) ◽  
pp. 49-55
Author(s):  
Rao Muhammad Asif ◽  
Muhammad Abu Bakar Siddique ◽  
Ateeq Ur Rehman ◽  
Muhammad Tariq Sadiq ◽  
Adeel Asad
Keyword(s):  
Fuzzy Logic ◽  
Output Power ◽  
Fuzzy Logic Controller ◽  
Maximum Output Power ◽  
Management Control ◽  
Maximum Power ◽  
Effective Control ◽  
Maximum Output ◽  
Pv System ◽  
Battery Bank

Photovoltaic energy is considered highly favorable due to the environment's pleasant nature. After analyzing different maximum power point tracking (MPPT) algorithms, an effective control scheme is proposed to obtain stabilized maximum output power throughout the PV system. Therefore, this article presents an efficient control algorithm for the extraction of maximum power through a PV system under severe climatic drifts. The modified fuzzy logic controller sustains the maximum output power of the system by defining fuzzy rules to control the duty cycle appropriately. A DC-DC boost converter is also modeled to stabilize and maintain output power under variant climatic uncertainties. Furthermore, charging management control is also implemented on lead-acid battery bank to store PV energy for backup usage. It defines charging-discharging time and state of charge for keeping the battery bank healthier.

scholarly journals Fuzzy Based MPPT Controller For Solar Photovoltaic Systems

2021 ◽  
pp. 359-370
Author(s):  
Sabitha M ◽  
Dr. K. Ranjith Kumar
Keyword(s):  
Fuzzy Logic ◽  
Duty Cycle ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Operating Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Duty Ratio ◽  
Solar Pv ◽  
Pv Array

In this work, a Fuzzy Logic Control (FLC) based MPPT technique is proposed to improve the performance of a stand-alone solar energy system. The Fuzzy logic controller is used as an intelligent way of tracking the maximum power point (MPP). The Taguchi method is adopted in this study to analyze multiple operating conditions of solar PV array. Solar PV output changes with Atmospheric conditions. The change in PV Current and Power are measured and fed to the Fuzzy logic controller as input. The Fuzzy controller is designed with 25 fuzzy rules and the Mamdani fuzzy inference is performed to obtain the aggregation which will be defuzzified by Center of gravity method. Based on the change in PV Current and Power, the Fuzzy logic controller generate the duty cycle for the boost converter (DC-DC converter). The variation of the duty cycle is from 0 to 1. The signal of change in duty ratio from the Fuzzy logic MPPT algorithm is fed to the PWM for switching the IGBT to dynamically update the duty cycle of the boost converter for extracting the maximum power from the solar PV array. A stand-alone Photovoltaic system with a boost converter is simulated in MATLAB Simulink to demonstrate the results and applicability of the proposed method.

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.

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 comparative study on conventional and modern maximum power point tracking algorithms applied to photovoltaic systems

2019 ◽  
Vol 9 (2) ◽  
pp. 29-35
Author(s):  
Rachid Belaidi ◽  
Boualem Bendib ◽  
Djamila Ghribi ◽  
Belkacem Bouzidi ◽  
Mohamed Mghezzi Larafi
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Fuzzy Controller ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Software Environment ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Power Point

The main goal of maximum power point (MPP) tracking control is to extract the maximum photovoltaic (PV) power by finding the optimal operating point under varying atmospheric conditions to improve the efficiency of PV systems. In recent years, the field of tracking the MPP of PV systems has attracted the interest of many researchers from the industry and academia. This research paper presents a comparative study between the modern fuzzy logic based controller and the conventional perturb & observe (P&O) technique. The comparative study was carried out under different weather conditions in order to analyse and evaluate the performance of the PV system. The overall system simulation has been performed using Matlab/Simulink software environment. The simulation results show that the dynamic behaviour exhibited by the modern fuzzy controller outperforms that of the conventional controller (P&O) in terms of response time and damping characteristics.   Keywords: MPPT, photovoltaic system, fuzzy logic control, P&O algorithm.

scholarly journals A comparison of two automatic solar tracking algorithms

2020 ◽  
Vol 152 ◽  
pp. 02009
Author(s):  
Motlatsi Lehloka ◽  
James Swart ◽  
Pierre Hertzog
Keyword(s):  
Fuzzy Logic ◽  
Fossil Fuels ◽  
Global Climate ◽  
Clean Energy ◽  
The Sun ◽  
Solar Pv ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
Fixed Axis

Due to global climate change as a result of pollution caused by the burning of fossil fuels, the world has changed its view when it comes to power generation. The focus is now more on natural and clean energy, such as solar PV systems. An effective solar PV system is not a simple system, as the sun is not a stationery object. The sun moves from east to west daily and that makes the design and installation of an effective solar PV system challenging for optimal power harvesting. The purpose of this paper is to compare two algorithms (linear regression and fuzzy logic) that are applied to a dual-axis tracker in order to maximize the output power yield that may be obtained from a fixed-axis system. One fixed-axis PV module serves as the baseline for comparing the results of the dual-axis trackers that are controlled by the two algorithms. A key recommendation is to align a PV module perpendicular to the sun from sunrise to sunset using a control algorithm based on fuzzy logic principles in order to extract the maximum amount of available energy.

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