Comparison of ANN-Based MPPT Controller and Incremental Conductance for Photovoltaic System

Author(s):  
Ruchira ◽  
Ram N. Patel ◽  
Sanjay Kumar Sinha
Author(s):  
Abdelaziz Salah Saidi ◽  
Ayachi Errachdi ◽  
Chokri Ben Salah ◽  
Mohammad Fazle Azeem ◽  
Mohamed Arbi Khlifi

The article for the journal Recent Advances in Electrical and Electronic Engineering has been withdrawn on the request of the authors due to some fees issues related to his university. Bentham Science apologizes to the readers of the journal for any in convenience this may cause. BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.


2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.


2019 ◽  
Author(s):  
Borni Abdelhalim ◽  
Bouchakour Abdelhak ◽  
Bessous Noureddine ◽  
Abdelkrim Thameur ◽  
Lakhdari Abdelkader ◽  
...  

2014 ◽  
Vol 5 (3) ◽  
pp. 978-985 ◽  
Author(s):  
Kai Chen ◽  
Shulin Tian ◽  
Yuhua Cheng ◽  
Libing Bai

Solar Energy ◽  
2018 ◽  
Vol 163 ◽  
pp. 235-242 ◽  
Author(s):  
Hifsa Shahid ◽  
Muhammad Kamran ◽  
Zeeshan Mehmood ◽  
Muhammad Yasir Saleem ◽  
Muhammad Mudassar ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
M. Abdulkadir ◽  
A. H. M. Yatim ◽  
S. T. Yusuf

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.


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