Comparative Study of Perturb-and-Observe and Fuzzy Logic MPPT for Stand-Alone PV System

2021 ◽  
pp. 266-276
Author(s):  
Louki Hichem ◽  
Merabet Leila ◽  
Omeiri Amar
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Pv System ◽  
Perturb And Observe

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 Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

2021 ◽  
Vol 229 ◽  
pp. 01013
Author(s):  
Hassan Essakhi ◽  
Sadik Farhat ◽  
Mohamed Mediouni ◽  
Yahya Dbaghi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Photovoltaic System ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Dynamic Performances ◽  
Mppt Controller ◽  
Power Point

This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.

scholarly journals Analysis of a Traditional and a Fuzzy Logic Enhanced Perturb and Observe Algorithm for the MPPT of a Photovoltaic System

Algorithms ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 24
Author(s):  
Diogo Remoaldo ◽  
Isabel Jesus
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Rule Base ◽  
Pv System ◽  
Maximum Power Point ◽  
Perturb And Observe ◽  
Environment Temperature ◽  
Power Point

This paper presents the results obtained for the maximum power point tracking (MPPT) technique applied to a photovoltaic (PV) system, composed of five solar panels in series using two different methodologies. First, we considered a traditional Perturb and Observe (P&O) algorithm and in a second stage we applied a Fuzzy Logic Controller (FLC) that uses fuzzy logic concepts to improve the traditional P&O; both were implemented in a boost converter. The main aim of this paper is to study if an artificial intelligence (AI) based MPPT method, can be more efficient, stable and adaptable than a traditional MPPT method, in varying environment conditions, namely solar irradiation and/or environment temperature and also to analyze their behaviour in steady state conditions. The proposed FLC with a rule base collection of 25 rules outperformed the controller using the traditional P&O algorithm due to its adaptative step size, enabling the FLC to adapt the PV system faster to changing environment conditions, guessing the correct maximum power point (MPP) faster and achieving lower oscillations in steady state conditions, leading to higher generated energy due to lower losses both in steady state and dynamic environment conditions. The simulations in this study were performed using MATLAB (Version 2018)/Simulink.

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

2016 ◽  
Vol 7 (2) ◽  
pp. 543 ◽  
Author(s):  
M. Venkatesan ◽  
R. Rajeshwari ◽  
N. Deverajan ◽  
M. Kaliyamoorthy
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
Fuzzy Logic Controller ◽  
Pulse Width Modulation ◽  
Harmonic Distortion ◽  
Maximum Power ◽  
Pv System ◽  
Pv Inverter ◽  
Switching Losses ◽  
Three Phase

A comparative study of three phase grid connected photovoltaic (PV) inverter using Proprotional Controller (PI) and Fuzzy Logic Controller (FLC) is presented in this paper. Proposed three phase inverter with single DC source employing three phase transformer for grid connected PV system controlled by using Space Vector Pulse Width Modulation (SVPWM) technique.  PI and FLC are used as current controller for regulating the current. Perturb and observe Maximum Power Point Technique (MPPT) is used for tracking of maximum power from the PV panel. Finally Total Harmonic Distortion (THD) comparison made between two controllers for validation of results. Furthermore swithing losses of inverter are also presented. The simulation results are obtained using MATLAB simulink.

Fuzzy Logic Controlled SEPIC Re-Lift Converter System - A Comparative Study

2019 ◽  
Vol 14 (5) ◽  
pp. 302
Author(s):  
T. Ezhilan ◽  
J. Ravikumar ◽  
B. Baskaran ◽  
S. Subramanian
Keyword(s):  
Fuzzy Logic ◽  
Comparative Study ◽  
System A

Maximum Power Extraction from PV System Using Fuzzy Logic

2019 ◽  
Vol 7 (4) ◽  
pp. 835-840
Author(s):  
Dhruv M. Dhivar ◽  
M.B. Jhala ◽  
M. K. Kathiria
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power ◽  
Pv System ◽  
Power Extraction

Novel transient stability analysis of grid connected hybrid wind/PV system using UPFC

2021 ◽  
pp. 002072092110032
Author(s):  
S Arockiaraj ◽  
BV Manikandan
Keyword(s):  
Fuzzy Logic ◽  
Transient Stability ◽  
Fuzzy Logic Controller ◽  
Power Transmission ◽  
Dynamic Performance ◽  
Wind Farms ◽  
Pv System ◽  
Turbine Generator ◽  
Series Compensation ◽  
Wind Turbine System

In transmission line, the series compensation is used to improve stability and increases the power transmission capacity. It generates sub synchronous resonance (SSR) at turbine-generator shaft due to the interaction between the series compensation and wind turbine system. To solve this, several methods have been presented. However, these provide less performance during contingency period. Therefore, to mitigate the SSR and also to improve the dynamic performance of hybrid wind and PV system connected with series compensated wind farms, the adaptive technique of the Black Widow Optimization algorithm based Fuzzy Logic Controller (BWO-FLC) with UPFC is proposed in this paper. Here, the objective function is solved optimally using BWO technique. Based on this, the Fuzzy Logic Controller is designed. The results proved that the proposed controller performs the mitigation of SSR. The damping ratios of proposed controller to mitigation of SSR are 0.0098, 0.0139, and 0.0195 for wind speed of 6, 8 and 10 m/s respectively.

Sign in / Sign up

Export Citation Format

Share Document