Fuzzy Logic Based MPPT Controller for PV Panel

2020 ◽  
pp. 501-510
Author(s):  
Mahesh Kumar ◽  
Krishna Kumar Pandey ◽  
Amita Kumari ◽  
Jagdish Kumar
Keyword(s):  
Fuzzy Logic ◽  
Pv Panel ◽  
Mppt Controller

scholarly journals Improved dynamic performance of photovoltaic panel using fuzzy Logic-MPPT algorithm

2021 ◽  
Vol 21 (2) ◽  
pp. 617
Author(s):  
Khalid W. Nasser ◽  
Salam J. Yaqoob ◽  
Zainab A. Hassoun
Keyword(s):  
Fuzzy Logic ◽  
Solar Irradiance ◽  
Dynamic Performance ◽  
Weather Conditions ◽  
Maximum Efficiency ◽  
Photovoltaic Panel ◽  
Point Tracking ◽  
Pv Panel ◽  
Mppt Controller ◽  
Power Point

The nonlinear characteristics and intense credence dependence of photovoltaic (PV) panel on the solar irradiance and ambient temperature demonstrate important challenges for researchers in the PV panel topic. To overcome these problems, the maximum power point tracking (MPPT) controller is needed which can improve the PV panel efficiency. In other words, for maximum efficiency, the MPPT controller can help to extract the optimal and overall available output power from the PV panel at different output load conditions. Fuzzy logic (FL) is one of the strongest techniques in the extracting of MPP in the PV panel since it has several advantages; robust; no requirement to have an accurate mathematical model, and works with imprecise inputs. Therefore, in this paper, fuzzy logic (FL-MPPT) has been designed and simulated to improve dynamic performance PV panel at different solar irradiance and then increased the efficiency. Therefore, "MATLAB/Simulink software" has been used to build the proposed algorithm and the simulation results have been adequate as well. Besides, a robust FL-MPPT algorithm has been presented with high dynamic performance under different weather conditions. Finally, the proposed algorithm has a quicker response and less oscillatory comparison of the conventional algorithms in the subject of extracting the maximum PV power.

Fuzzy Logic Method Based MPPT Controller for Solar Energy Generation

2021 ◽  
pp. 41-53
Author(s):  
Sunny Deol ◽  
Shrawan Ram Patel ◽  
Tanupriya Choudhury
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Energy Generation ◽  
Fuzzy Logic Method ◽  
Mppt Controller ◽  
Logic Method

MEDIUM SIZE DUAL-AXIS SOLAR TRACKING SYSTEM WITH SUNLIGHT INTENSITY COMPARISON METHOD AND FUZZY LOGIC IMPLEMENTATION

2015 ◽  
Vol 77 (17) ◽  
Author(s):  
Azwaan Zakariah ◽  
Mahdi Faramarzi ◽  
Jasrul Jamani Jamian ◽  
Mohd Amri Md Yunus
Keyword(s):  
Fuzzy Logic ◽  
Solar Irradiance ◽  
Fuzzy Logic Controller ◽  
Solar Power ◽  
Tracking System ◽  
Medium Size ◽  
The Sun ◽  
Solar Pv ◽  
Pv Panel ◽  
Solar Tracking

Nowadays, renewable energy such as solar power has become important for electricity generation, and solar power systems have been installed in homes. Furthermore, solar tracking systems are being continuously improved by researchers around the world, who focus on achieving the best design and thus maximizing the efficiency of the solar power system. In this project, a fuzzy logic controller has been integrated and implemented in a medium-scale solar tracking system to achieve the best real-time orientation of a solar PV panel toward the sun. This project utilized dual-axis solar tracking with a fuzzy logic intelligent method. The hardware system consists of an Arduino UNO microcontroller as the main controller and Light Dependent Resistor (LDR) sensors for sensing the maximum incident intensity of solar irradiance. Initially, two power window motors (one for the horizontal axis and the other for the vertical axis) coordinate and alternately rotate to scan the position of the sun. Since the sun changes its position all the time, the LDR sensors detect its position at five-minute intervals through the level of incident solar irradiance intensity measured by them. The fuzzy logic controller helps the microcontroller to give the best inference concerning the direction to which the solar PV panel should rotate and the position in which it should stay. In conclusion, the solar tracking system delivers high efficiency of output power with a low power intake while it operates.

Fuzzy logic based optimal tip speed ratio MPPT controller for grid connected WECS

2020 ◽  
Author(s):  
P. Sathish Babu ◽  
C.K. Sundarabalan ◽  
C. Balasundar ◽  
T. Santhana Krishnan
Keyword(s):  
Fuzzy Logic ◽  
Speed Ratio ◽  
Tip Speed Ratio ◽  
Mppt Controller

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.

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