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.

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.

scholarly journals Simulation of the Incremental Conductance Algorithm for Maximum Power Point Tracking of Photovoltaic System Based On Matlab

2019 ◽  
Vol 12 (1) ◽  
pp. 34-43
Author(s):  
Parween R.Kareem
Keyword(s):  
Maximum Power Point Tracking ◽  
Electrical Power ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Power Point

Due to the urgent need to make maximum use of electrical power generated from the Photo-Voltaic System (PVS) solar panels, several techniques have been developed for this purpose. Maximum Power Point Tracking (MPPT) algorithm raises the efficiency of PVS’s. Simulation of the complete (PVS) possesses the ability of MPPT is present in this paper. The approved PVS consists of a PV array, DC-DC Boost Converter and MPPT algorithm using Incremental Conductance Method (INC). All parts of the system were simulated programmatically using MATLAB. The obtained Results showed the efficiency of the algorithm used to extract the maximum power regardless of changes in solar radiation and cell’s temperature

Modeling and Analysis of Grid-Connected Inverter for PV Generation

2013 ◽  
Vol 760-762 ◽  
pp. 451-456 ◽  
Author(s):  
Neng Cao ◽  
Ya Jun Cao ◽  
Jiao Yu Liu
Keyword(s):  
Control System ◽  
Power Quality ◽  
High Speed ◽  
Control Algorithm ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Conductance Method ◽  
Power Point ◽  
Pv Generation

In order to improve the efficiency of photovoltaic generation as well as the power quality, grid-connected inverters for PV generation research was carried out for photovoltaic maximum power point tracking. Based on some current studies on the incremental conductance method, an advanced incremental conductance control algorithm was proposed, which can track maximum power point rapidly and accurately. The oscillation phenomenon, which exists near the maximum power point, was improved at a great extent, so to the efficiency of photovoltaic cells generation electricity. The inverter control system has an advantage in its high speed and flexibility by applying advanced control algorithm. And the source harmonic current is remarkably reduced. In addition, the power factor is enhanced and the power quality is improved. Finally, according to the principle of inverter control system and based on the analysis on the mathematical model of photovoltaic inverter, a simulation model of that is established based on MATLAB/SIMULINK.

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.

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.

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