scholarly journals DESIGN OF MAXIMUM POWER POINT TRACKER CONTROLLER FOR BOOST CONVERTER PHOTOVOLTAIC ARRAY SYSTEM BASED ON FUZZY MAMDANI LOGIC

2021 ◽  
Vol 25 (Special) ◽  
pp. 1-13-1-25
Author(s):  
Jaaffar J.Duair ◽  
◽  
Ammar I. Majeed ◽  
Ghusoon M. Ali ◽  
◽  
...  
Keyword(s):  
High Efficiency ◽  
Maximum Power ◽  
Circuit Parameter ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Maximum Power Point Tracker ◽  
Irradiation Level ◽  
Power Point

This paper discusses the analysis for a proposed design of a maximum power point tracker (MPPT) controller for a photovoltaic (PV) array solar system. Deploying a fuzzy Mamdani logic to track the maximum- power for the PV system when the atmospheric conditions are changed. The fuzzy Mamdani logic controller techniques have high efficiency, rapid response to new environmental factors, and are unaffected by circuit parameter changes. This controller able to adjust the duty cycle fed switching circuit of DC/DC boost to increase the output voltage of the system. By using a Simulink MATLAB, the system with the controller is stimulated and studied for different atmospheric conditions. We choose three irradiation levels of 1000, 800, and 600 W/m2 at a certain temperature of 25 ℃ and three values for the temperature of 20, 30,35 ℃ at irradiation level of 1000 W/m2 to calculate the efficiency of the algorithm. The extracted efficiency results are compared with the usual Perturb and Observe algorithm MPPT topology (P&O) for the same system design and atmospheric conditions. It was found to be the controller efficiency of the proposed algorithm is improved up to 99%. This improvement maximizes performance and reduces costs, provides adequate current and voltage, and minimizes booster losses, and improves booster reliability.

scholarly journals Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2541
Author(s):  
Vasantharaj Subramanian ◽  
Vairavasundaram Indragandhi ◽  
Ramya Kuppusamy ◽  
Yuvaraja Teekaraman
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Environmental Changes ◽  
Maximum Power ◽  
Circuit Parameter ◽  
Atmospheric Conditions ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point

Due to the easiness of setup and great energy efficiency, direct current (DC) microgrids (MGs) have become more common. Solar photovoltaic (PV) and fuel cell (FC) systems drive the DC MG. Under varying irradiance and temperature, this work proposes a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) approach deployed to PV panel and FC generated boost converter. PV panels must be operated at their maximum power point (MPP) to enhance efficiency and shorten the system’s payback period. There are different kinds of MPPT approaches for using PV panels at that moment. Still, the FLC-based MPPT approach was chosen in this study because it responds instantaneously to environmental changes and is unaffected by circuit parameter changes. Similarly, this research proposes a better design strategy for FLC systems. It will improve the system reliability and stability of the response of the system. An FLC evaluates PV and FC via DC–DC boost converters to obtain this enhanced response time and accuracy.

A Comparative Study on Maximum Power Point Tracking Techniques of Photovoltaic Systems

2018 ◽  
Vol 7 (1) ◽  
pp. 66-85 ◽  
Author(s):  
Afef Badis ◽  
Mohamed Habib Boujmil ◽  
Mohamed Nejib Mansouri
Keyword(s):  
High Efficiency ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Conventional Methods ◽  
Power Point

This article concerns maximizing the energy reproduced from the photovoltaic (PV) system, ensured by using an efficient Maximum Power Point Tracking (MPPT) process. The process should be fast, rigorous and simple for implementation because the PV characteristics are extremely affected by fast changing conditions and Partial Shading (PS). PV systems are popularly known to have many peaks (one Global Peak (GP) and several local peaks). Therefore, the MPPT algorithm should be able to accurately detect the unique GP as the maximum power point (MPP), and avoid any other peak to mitigate the effect of (PS). Usually, with no shading, nearly all the conventional methods can easily reach the MPP with high efficiency. Nonetheless, they fail to extract the GP when PS occurs. To overcome this problem, Evolutionary Algorithms (AEs), namely the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are simulated and compared to the conventional methods (Perturb & Observe) under the same software.

Research of MPPT Using Support Vector Machine for PV System

2013 ◽  
Vol 441 ◽  
pp. 268-271
Author(s):  
De Da Sun ◽  
Da Hai Zhang ◽  
Yang Liu
Keyword(s):  
Support Vector Machine ◽  
Power Systems ◽  
High Efficiency ◽  
Environmental Changes ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Support Vector ◽  
Pv System ◽  
Maximum Power Point ◽  
Power Point

Photovoltaic (PV) power systems are widely used today, so its useful to study how to make the PV maximum power output. In this paper a novel approach based on Support Vector Machine (SVM) for maximum power point tracking (MPPT) of PV systems is presented. The output power characteristics of PV cells vary with solar irradiation and temperature, so the controllers inputs is the level of solar radiation and ambient temperature of the PV module, and the voltage at maximum power point (MPP) is the output. Results show that the proposed MPPT controller based on SVM is sensitive to environmental changes and has high efficiency and less Mean Square Error (MSE).

A Dual-Mode MPPT Algorithm Based on the Golden Section Point of the PV System

2013 ◽  
Vol 748 ◽  
pp. 833-838
Author(s):  
Yan Yun Wang ◽  
Dong Wei Xia ◽  
Hao Han
Keyword(s):  
Golden Section ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Dual Mode ◽  
Pv System ◽  
Maximum Power Point ◽  
Fast Tracking ◽  
Photovoltaic Array ◽  
Conductance Method ◽  
Power Point

A dual-mode MPPT (Maximum Power Point Tracking) method is proposed in this paper. When external conditions or loads change suddenly, the P&O (Perturb and Observe) method is used to adjust the operating point of the PV (Photovoltaic) array close to the MPP (Maximum Power Point) for fast tracking; meanwhile, the INC (Incremental Conductance) method is combined with the P&O method to optimize the steady-state characteristic. Moreover, to improve the control precision, the golden section point is used to adjust the disturbance step on line. Simulation results show that the proposed method tracks the MPP (Maximum Power Point) quickly, reduces the oscillation around the MPP effectively and improves the energy conversion efficiency of the PV system availably.

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