scholarly journals EXTRACT MAXIMUM POWER FROM PV SYSTEM EMPLOYING MPPT WITH FLC CONTROLLER

2019 ◽  
Vol 1 (02) ◽  
pp. 58-71 ◽  
Author(s):  
Chandramouli A
Keyword(s):  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Output ◽  
Pv System ◽  
Point Tracking ◽  
Power Point ◽  
Fuzzy Control Algorithm

Extract of maximum power from photo voltaic (PV) system employing with fuzzy logic controller (FLC) based MPPT technique is investigated in this article. Fuzzy is a expert supervisory control algorithm system, provides satisfied acceptable results from PV. Maximum/lower power point tracking (MPPT/LPPT) approaches are adopted to get maximum output power from the PV irrespective of variation in its input source (Solar irradiation and temperature). The performance results have been investigated in MATLAB/Simlink package for different conditions. From the simulation results it is evident that proposed fuzzy control algorithm works well compared to the other traditional MPPT techniques.

Review of Maximum Power Point Tracking Technology for Photovoltaic Cells

2013 ◽  
Vol 448-453 ◽  
pp. 1542-1546
Author(s):  
Nan Jin ◽  
Dong Dong Gu ◽  
Guang Zhao Cui
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The output characteristics of photovoltaic (PV) cells are usually nonlinear, influenced by solar irradiation, environmental temperature and load characteristics. The maximum output power of PV cells changes with external environment. In order to improve the system efficiency and make PV cells work near the maximum power point (MPP), it is necessary to adjust the operating point. A variety of maximum power point tracking (MPPT) methods have been proposed. This paper compares these methods and summarizes the advantages and disadvantages of them. Finally, the key problems and development prospects of MPPT technology are analyzed.

scholarly journals Pengaruh Algoritma Peturb & Observe pada Irradiance, Suhu dan Beban Bervariasi

AVITEC ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Ernando Rizki Dalimunthe
Keyword(s):  
Output Power ◽  
Maximum Output Power ◽  
Maximum Power ◽  
Maximum Output ◽  
Average Output ◽  
Point Tracking ◽  
Power Simulation ◽  
Power Point Tracking ◽  
Duty Cycles ◽  
Power Point

Optimizing the output power value of a solar cell requires a tracker. The tracking is called the maximum power point tracking (MPPT) which will produce a maximum output power value. Each component in this system is modeled into Simulink. This simulation is designed to optimize the work of solar cells by searching maximum power points using perturb and observe (P & O) algorithms, then duty cycles are output  of the algorithms become Buck-Boost Converter inputs as switching so they can produce output power with better output  power. Simulation results show that MPPT can increase the average output power on changes in the value of sun irradiation, temperature and load than systems that do not use MPPT. The factor of the average difference in power is 37.82%.

scholarly journals Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Sun ◽  
Yongquan You ◽  
Zhiyong Zhang ◽  
Chao Li
Keyword(s):  
Control Algorithm ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Step Algorithm ◽  
Output Characteristics ◽  
Power Point ◽  
Fuzzy Control Algorithm

As a green and renewable energy source, photovoltaic power is of great significance for the sustainable development of energy and has been increasingly exploited. The photovoltaic controller is the key component of a photovoltaic power generation system, and its central technology is the maximum power point tracking technology. In this paper, a mathematical model of photovoltaic cells is firstly established, the output characteristics of photovoltaic cells are analyzed, the main factors that affect the output efficiency of photovoltaic cells are obtained, and it is proved that the most important factor that affects the output power is the light intensity. Therefore, in the design, the maximum power point of the photovoltaic cell is tracked by the control algorithm and can maximize the use of photovoltaic output power fast charging. The key to the design of a photovoltaic controller is the design of control algorithm. So, an improved fuzzy control algorithm is proposed to overcome the shortcomings of the traditional maximum power point tracking (MPPT) algorithm. The algorithm can consider tracking both speed and convergence, but the algorithm requires high input and output fuzzy domain parameters, and although the tracking speed is fast, the stability of convergence is poor. For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. According to the output characteristics of photovoltaic cells, three parameters, α, β, and γ, are set to solve the tracking speed and tracking stability. In order to reduce the static error, a genetic factor is proposed to sum up the historical error to effectively improve the tracking stability. The simulation results show that the algorithm can track the maximum power point quickly and has good tracking speed and stability. This algorithm can be used in engineering practice effectively.

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 Real-Time Experimental Assessment of a New MPPT Algorithm Based on the Direct Detection of the Short-Circuit Current for a PV System

2021 ◽  
Vol 19 ◽  
pp. 598-603 ◽  
Author(s):  
C.B. Nzoundja Fapi ◽  
◽  
P. Wira ◽  
M. Kamta ◽  
Keyword(s):  
Fuzzy Logic Controller ◽  
Direct Detection ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Panel ◽  
Power Point

To substantially increase the efficiency of photovoltaic (PV) systems, it is important that the Maximum Power Point Tracking (MPPT) system has an output close to 100%.This process is handled by MPPT algorithms such as Fractional Open-Circuit Voltage (FOCV), Perturb and Observe (P&O), Fractional Short-Circuit Current (FSCC), Incremental Conductance (INC), Fuzzy Logic Controller (FLC) and Neural Network (NN) controllers. The FSCC algorithm is simple to be implemented and uses only one current sensor. This method is based on the unique existence of the linear approximation between the Maximum Power Point (MPP) current and the short-circuit current in standard conditions. The speed of this MPPT optimization technic is fast, however this algorithm needs to short-circuit the PV panel each time in order to obtain the short circuit current. This process leads to energy losses and high oscillations. In order to improve the FSCC algorithm, we propose a method based on the direct detection of the shortcircuit current by simply reading the output current of the PV panel. This value allows directly calculating the short circuit current by incrementing or decrementing the solar irradiation. Experimental results show time response attenuation, little oscillations, power losses reduction and better MPPT accuracy of the enhanced algorithm compared to the conventional FSCC method.

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.

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.

Comparison between PSO and FLC: MPPT for Energy Harvesting of PV System under Partial Shading Condition

2015 ◽  
Vol 785 ◽  
pp. 188-192 ◽  
Author(s):  
Nur Atharah Kamarzaman ◽  
S.S. Ramli ◽  
A.A.A. Samat ◽  
Aimi Idzwan Tajudin
Keyword(s):  
Fuzzy Logic Controller ◽  
Characteristic Curve ◽  
Maximum Power ◽  
Stochastic Algorithm ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Simple Implementation ◽  
Power Point

Conventional Maximum Power Point Tracking (MPPT) controllers are widely used due to simple implementation and show a good performance in tracking Maximum Power Point (MPP) when solar irradiance is uniform. However, when partial shading occurs on the PV array, tracking to MPP becomes complicated as multiple peaks exist on the Power-Voltage (P-V) characteristic curve. Several methods based on stochastic algorithm and artificial intelligence has been developed to track true MPP under partial shading conditions. This paper focuses on the performance of MPPT controller to extract maximum power from PV system under partial shading condition. The selected MPPT algorithms that have been implemented in the PV system include Fuzzy Logic Controller and Particle Swarm Optimization. Results show that both the simulated MPPT controllers are capable of tracking the maximum power.

scholarly journals Application of Fuzzy Control in a Photovoltaic Grid-Connected Inverter

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhaohong Zheng ◽  
Tianxia Zhang ◽  
Jiaxiang Xue
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Grid Connected Inverter ◽  
Power Point ◽  
Fuzzy Control Algorithm

To realize the maximum power output of a grid-connected inverter, the MPPT (maximum power point tracking) control method is needed. The perturbation and observation (P&O) method can cause the inverter operating point to oscillate near the maximum power. In this paper, the fuzzy control P&O method is proposed, and the fuzzy control algorithm is applied to the disturbance observation method. The simulation results of the P&O method with fuzzy control and the traditional P&O method prove that not only can the new method reduce the power loss caused by inverter oscillation during maximum power point tracking, but also it has the advantage of speed. Inductive loads in the post-grid-connected stage cause grid-connected current distortion. A fuzzy control algorithm is added to the traditional deadbeat grid-connected control method to improve the quality of the system’s grid-connected operation. The fuzzy deadbeat control method is verified by experiments, and the harmonic current of the grid-connected current is less than 3%.

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