scholarly journals Stopping the Drift Problem in the Tracking of Maximum Power Point for Photovoltaic System by Using Modified Variable Step Size Incremental Conductance Method

2020 ◽  
Vol 22 (3) ◽  
pp. 273-283
Author(s):  
Abdelkadir Djilali ◽  
Adil Yahdou ◽  
Elhadj Bounadja ◽  
Fayçal Mehedi
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Variable Step ◽  
Power Point

scholarly journals Modified Variable Step-Size Incremental Conductance MPPT Technique for Photovoltaic Systems

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2331
Author(s):  
Isaac Owusu-Nyarko ◽  
Mohamed A. Elgenedy ◽  
Ibrahim Abdelsalam ◽  
Khaled H. Ahmed
Keyword(s):  
Slope Angle ◽  
Scaling Factor ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Angle Variation ◽  
Incremental Conductance ◽  
Variable Step ◽  
Power Point

A highly efficient photovoltaic (PV) system requires a maximum power point tracker to extract peak power from PV modules. The conventional variable step-size incremental conductance (INC) maximum power point tracking (MPPT) technique has two main drawbacks. First, it uses a pre-set scaling factor, which requires manual tuning under different irradiance levels. Second, it adapts the slope of the PV characteristics curve to vary the step-size, which means any small changes in PV module voltage will significantly increase the overall step-size. Subsequently, it deviates the operating point away from the actual reference. In this paper, a new modified variable step-size INC algorithm is proposed to address the aforementioned problems. The proposed algorithm consists of two parts, namely autonomous scaling factor and slope angle variation algorithm. The autonomous scaling factor continuously adjusts the step-size without using a pre-set constant to control the trade-off between convergence speed and tracking precision. The slope angle variation algorithm mitigates the impact of PV voltage change, especially during variable irradiance conditions to improve the MPPT efficiency. The theoretical investigations of the new technique are carried out while its practicability is confirmed by simulation and experimental results.

An Improved Multistage Variable-Step MPPT Algorithm for Photovoltaic System

2013 ◽  
Vol 347-350 ◽  
pp. 1833-1838
Author(s):  
Ping Wang ◽  
Zhe Zhou ◽  
Meng Meng Cai ◽  
Jing Bin Zhang
Keyword(s):  
Steady State ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Variable Step ◽  
Power Point ◽  
Steady State Performance ◽  
Improved Algorithm

This paper presents an improved multistage variable-step incremental conductance method to achieve the maximum power point tracking (MPPT). Compared with the traditional variable-step incremental conductance method, this improved algorithm optimizes the selection of the step size so that the tracking of the maximum power point is more quickly and the steady-state performance is better. Furthermore, the algorithm can still guarantee the quickness and accuracy of MPPT when the environmental conditions change suddenly and tremendously. At last, matlab simulation was applied to compare the characteristics of multistage variable-step algorithm with that of the other. And the simulation results verified that the improved algorithm has better dynamic and steady-state performance.

Experimental Verification of the main MPPT techniques for photovoltaic system

2017 ◽  
Vol 8 (1) ◽  
pp. 384 ◽  
Author(s):  
Mohamed Amine Abdourraziq ◽  
Mohamed Maaroufi
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Atmospheric Conditions ◽  
Step Size ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Variable Step ◽  
Power Point ◽  
Global Mppt

<p>Photovoltaic (PV) technology is one of the important renewable energy resources as it is pollution free and clean. PV systems have a high cost of energy and low eciency, consequently, they not made it fully attractive as an alternative option for electricity users. It is essential that PV systems are operated to extract the maximum possible power at all times. Maximum Power Point (MPP) changes with atmospheric conditions (radiation and temperature), it is dicult to sustain MPP at all atmospheric levels. Many Maximum Power Point Tracking (MPPT) have been developed and implemented. These methods varied according to several aspects such as a number of sensors used, complexity, accuracy, speed, ease of hardware implementation, cost and tracking eciency. The MPPT techniques presented in the literature indicate that Variable step size of Perturb &amp; Observe (VP&amp;O), Variable step size of Incremental Conductance (VINC) and Perturb &amp; Observe (P&amp;O) using Fuzzy Logic Controller (FLC) can achieve reliable global MPPT with low cost and complexity and be easily adapted to dierent PV systems. In this paper, we established theoretical and experimental verication of the main MPPT controllers (VP&amp;O, VINC, and P&amp;O using FLC MPPT algorithms) that most cited in the literature. The three MPPT controller has been tested by MATLAB/Simulink to analyze each technique under dierent atmospheric conditions. The experimental results show that the performance of VINC and P&amp;O using FLC is better than VP&amp;O in term of response time.</p>

scholarly journals Estimating Efficiency of MPPT Techniques by Chattering Examination

2019 ◽  
Vol 9 (1S) ◽  
pp. 43-47
Keyword(s):  
Photovoltaic System ◽  
Variable Step Size ◽  
Step Size ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Variable Step ◽  
Power Point ◽  
Solar Photovoltaic System

Increasing the efficiency of MPPT techniques is the essential aspects of the Solar Photovoltaic System. This efficiency is affected by the chattering available with the MPPT techniques. An MPP technique which generates less chattering in the system is more efficient than the others. This paper presents the chattering analysis of the popular Maximum Power Point Tracking (MPPT) techniques Perturb & Observe (P&O) and Incremental conductance method for the fixed and variable step size. The algorithms are simulated under similar load and environment conditions. In the result it is found that the incremental conductance method has very less chattering in comparison with the P&O for the fixed step size and variable step size. Further, for the different solar radiation chattering is observed and tabulated

scholarly journals Performance Improvement of PEM Fuel Cell Using Variable Step-Size Incremental Resistance MPPT Technique

2020 ◽  
Vol 12 (14) ◽  
pp. 5601 ◽  
Author(s):  
Hegazy Rezk ◽  
Ahmed Fathy
Keyword(s):  
Fuel Cell ◽  
Water Content ◽  
Operating Conditions ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Tracking Method ◽  
Variable Step ◽  
Power Point

The output power of a fuel cell mainly depends on the operating conditions such as cell temperature and membrane water content. The fuel cell (FC) power versus FC current graph has a unique maximum power point (MPP). The location of the MPP is variable, depending on the operating condition. Consequently, a maximum power point tracker (MPPT) is highly required to ensure that the fuel cell operates at an MPP to increase its performance. In this research work, a variable step-size incremental resistance (VSS-INR) tracking method was suggested to track the MPP of the proton exchange membrane (PEMFC). Most of MPPT methods used with PEMFC require at least three sensors: temperature sensor, water content sensor, and voltage sensor. However, the proposed VSS-INR needs only two sensors: voltage and current sensors. The step size of the VSS-INR is directly proportional to the error signal. Therefore, the step size will become small as the error becomes very small nearby the maximum power point. Accordingly, the accuracy of the VSS-INR tracking method is high in a steady state. To test and validate the VSS-INR, nine different scenarios of operating conditions, including normal operation, only temperature variation, only variation of water content in the membrane, and both variations of temperature and water content simultaneously, were used. The obtained results were compared with previously proposed methods, including particle swarm optimization (PSO), perturb and observe (P&O), and sliding mode (SM), under different operating conditions. The results of the comparison confirmed the superiority of VSS-INR compared with other methods in terms of the tracking efficiency and steady-state fluctuations.

scholarly journals An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
M. Abdulkadir ◽  
A. H. M. Yatim ◽  
S. T. Yusuf
Keyword(s):  
Control Strategy ◽  
Real Data ◽  
Weighting Factor ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Accelerate Convergence ◽  
Power Point

This paper presents a control strategy proposed for power maximizing which is a critical mechanism to ensure power track is maximized. Many tracking algorithms have been proposed for this purpose. One of the more commonly used techniques is the incremental conductance method. In this paper, an improved particle swarm optimization- (IPSO-) based MPPT technique for photovoltaic system operating under varying environmental conditions is proposed. The approach of linearly decreasing scheme for weighting factor and cognitive and social parameter is modified. The proposed control scheme can overcome deficiency and accelerate convergence of the IPSO-based MPPT algorithm. The approach is not only capable of tracking the maximum power point under uniform insolation state, but also able to find the maximum power point under fast changing nonuniform insolation conditions. The photovoltaic systematic process with control schemes is created using MATLAB Simulink to verify the effectiveness with several simulations being carried out and then compared with the conventional incremental conductance technique. Lastly, the effectiveness of the intended techniques is proven using real data obtained form previous literature. With the change in insolation and temperature portrait, it produces exceptional MPPT maximization. This shows that optimum performance is achieved using the intended method compared to the typical method.

An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System

2011 ◽  
Vol 480-481 ◽  
pp. 739-744
Author(s):  
Kuei Hsiang Chao ◽  
Yu Hsu Lee
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Step Size ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point ◽  
Array Output

In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.

A New Scheme Based on Climbing Method for Maximum Photovoltaic Power Tracking Control

2014 ◽  
Vol 707 ◽  
pp. 377-380
Author(s):  
Bo Qiang Xu ◽  
Jin Bo Li
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Photovoltaic Arrays ◽  
Conductance Method ◽  
Power Point

The maximum power point tracking (MPPT) of photovoltaic arrays can increase the output power of the photovoltaic systerm, improve the utilization of solar energy. This paper describes the output characteristics of the photovoltaic arrays and the principle of maximum power point tracking,then,based on Incremental conductance method, proposes a sub-type of the variable step size MPPT algorithm. simulated using MATLAB/Simulink, the final results show that the proposed algorithm is able to quickly track the maximum power point and power concussion problem has been significantly improved.

scholarly journals Photovoltaic MPPT Algorithm Based on Hybrid Boost Converter and Variable Step Size Incremental Conductance

2021 ◽  
Vol 299 ◽  
pp. 01013
Author(s):  
Yiwei Ma ◽  
Fuxing Wang ◽  
Zongsheng Huang ◽  
Qin Feng ◽  
Changhao Piao
Keyword(s):  
Low Voltage ◽  
Boost Converter ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Tracking Accuracy ◽  
Step Size ◽  
Point Tracking ◽  
Incremental Conductance ◽  
Variable Step ◽  
Power Point

Aiming at the problem of low voltage gain of traditional boost converter and the incompatibility of tracking speed and tracking accuracy with the traditional incremental conductance algorithm (INC), this paper uses the hybrid boost converter as the DC/DC converter of photovoltaic system, and designs the variable step size INC algorithm control strategy to achieve Maximum power point tracking (MPPT) of photovoltaic. Simulink simulation model verifies the feasibility of the proposed algorithm, which effectively improves the output voltage and power generation efficiency of the photovoltaic system.

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