scholarly journals Proposed Algorithm MPPT for Photovoltaic System

2018 ◽  
Vol 3 (1) ◽  
pp. 10
Author(s):  
Mohcene Bechouat
Keyword(s):  
Fuzzy Controller ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Fast Tracking ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

A proposed algorithm MPPT (Maximum Power Point Tracking) is proposed in this paper. When the insolation change rapidly, the P&O (Perturb and Observe) algorithm is used to adjust the operating point of the PV (Photovoltaic) array close to the MPP (Maximum Power Point) for fast tracking; also, the INC (Incremental Conductance) algorithm and the fuzzy controller skip drawbacks of the P&O algorithm by decreasing oscillations around the MPP and the underestimated. In addition, to improve the control precision, the effectiveness of proposed algorithm is validated by simulation using Matlab/Simulink, the simulation results show that the proposed algorithm tracks the MPP quickly, reduces the oscillation around the MPP effectively and improves the energy conversion efficiency of the PV panel.

Research on Maximum Power Point Tracking Method for Photovoltaic System

2012 ◽  
Vol 220-223 ◽  
pp. 2091-2094
Author(s):  
Yue Shen Lai ◽  
Sheng Dong Hou ◽  
Gang Wang
Keyword(s):  
Maximum Power Point Tracking ◽  
Mathematic Model ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Computer Simulation Model ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic Array is nonlinear,and the power generated by it is influenced by sun light,temperature,load and so on In order to improve the system efficiency, firstly, analyzed the physical and mathematic model of photovoltaic array, through the MATLAB Simulink application software simulation tools, set up a computer simulation model of photovoltaic modules.Secondly,this paper gives the improved Perturbation and Observation Method and the Boost circuit used in the controller.after the analysis of some common maximum power point tracking algorithms and DC-DC circuits. Experiments shows that the controller method can rapidly to track the maximum power point,and increase the cell efficiency.

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.

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.

scholarly journals Application and Comparison Between the Conventional Methods and PSO Method for Maximum Power Point Extraction in Photovoltaic Systems Under Partial Shading Conditions

2018 ◽  
Vol 9 (2) ◽  
pp. 631 ◽  
Author(s):  
Bennis Ghita ◽  
Karim Mohammed ◽  
Lagrioui Ahmed
Keyword(s):  
Fuzzy Control ◽  
Pso Algorithm ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Steady State Oscillation ◽  
Power Point

Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.

Optimization of Photovoltaic Array Configurations in Photovoltaic System

2014 ◽  
Vol 1070-1072 ◽  
pp. 48-51
Author(s):  
Wen Ting Jia ◽  
Xue Ye Wei ◽  
Jun Hong Zhang ◽  
Yi Fei Meng
Keyword(s):  
Output Power ◽  
Photovoltaic Cell ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Pv Array ◽  
Power Point

Closely related to the actual output power and the light intensity, the temperature of the photovoltaic cell panel and the load of the PV array or the like. In the case of the external environment is stable and load conditions change, the output power of the PV modules exist Maximum Power Point, in order to improve the self-tracking PV system energy conversion efficiency, maximum power point tracking method may ensure the system running at maximum power points. Photovoltaic power generation system, optimize allocation method of PV array are also discussed in this paper.

scholarly journals Photovoltaic and Thermoelectric Generator Combined Hybrid Energy System with an Enhanced Maximum Power Point Tracking Technique for Higher Energy Conversion Efficiency

2021 ◽  
Vol 13 (6) ◽  
pp. 3144
Author(s):  
Kanagaraj N.
Keyword(s):  
Fuzzy Logic Controller ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Hybrid Energy ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Point

In this paper, the design and performance investigation of the hybrid photovoltaic–thermoelectric generator (PV–TEG) system with an enhanced fractional order fuzzy logic controller (FOFLC)-based maximum power point tracking (MPPT) technique is presented. A control strategy of the variable incremental conduction (INC) method is employed using FOFLC for the MPPT control technique to efficiently harvest the maximum power from the PV module. The fractional factor α used in the MPPT control algorithm is a supporting fuzzy logic controller (FLC) for the accurate tracking of the maximum power point (MPP) and to maintain the constant output after reaching the MPP. In the proposed system configuration, the TEG is mounted with the PV panel for generating the extra electrical power using the waste heat energy produced on the PV panel due to the incident solar irradiation. The PV and TEG are connected electrically in series to increase output voltage level and thereby improve the power output. The hybrid energy module has better energy conversion efficiency when compared to the standalone PV array. The performance of the proposed MPPT technique is studied for the PV–TEG hybrid energy module under various thermal and electrical operating conditions using a MATLAB software-based simulation. The results of the FOFLC-based MPPT technique are compared with the conventional perturb and observe (P&O) and FLC-based P&O methods. The proposed MPPT technique confirms its effectiveness in extracting the maximum power in terms of speed and accuracy. Moreover, the PV and TEG combined system provides higher energy efficiency than the individual PV module.

Electro-Mechanical Maximum Power Point Tracking of Photovoltaic System

2013 ◽  
Vol 300-301 ◽  
pp. 371-377 ◽  
Author(s):  
David Holtzhausen ◽  
Yoon Soo Kim
Keyword(s):  
Maximum Power Point Tracking ◽  
Power Saving ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point Tracking ◽  
Power Point ◽  
Tracking Device

This paper is concerned with optimisation of the power produced by a photovoltaic (PV) panel through designing, building and implementing maximum power point tracking (MPPT). In the literature, the MPPT has been normally approached either electronically (using a DC-to-DC converter) or mechanically (controlling the orientation of a PV panel). In this paper, these two approaches are combined to yield more power. To this end, for a given PV panel (available at the first author’s institution) which is already equipped with a mechanical tracking device, a Buck (DC-to-DC) converter is designed to improve the power saving which could be achieved by the mechanical tracking alone. Also, new electronic and mechanical MPPT methods are developed, and their combination, so-called electro-mechanical MPPT, is tested in a real environment to verify its usefulness.

Experimental control of photovoltaic system using neuro – Kalman filter maximum power point tracking (MPPT) technique

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Tarek Boutabba ◽  
Said Drid ◽  
Larbi Chrifi-Alaoui
Keyword(s):  
Kalman Filter ◽  
Maximum Power Point Tracking ◽  
Operating Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Fast Tracking ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

AbstractThis paper proposes a new maximum power point tracking (MPPT) technique of photovoltaic system based on Kalman filter (KF) and associate to Artificial Neural Networks (ANN). The design process of photovoltaic (PV) modules can be greatly enhanced by using advanced and accurate models. Furthermore, the use of a neural model especially for accuracy improvement of the electrical equivalent circuit parameters, where the analytic equation of the model cannot be easily expressed, because the relationship between parameters is nonlinear. The proposed neural network is trained once by using some measured I-V and P-V curves and to keep in account the change of all the parameters at different operating conditions. For that reason, to get the fast tracking performance on this noisy conditions, and to maximize the power of photovoltaic system a KF method have been used. The performance analysis of perturb and observe (P&O) and KF MPPT techniques has been simulated in MATLAB/Simulink software and their model and control schemes has been analyzed and validated.

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