scholarly journals Fuzzy Logic Control Approach of a Maximum Power Point Employing SEPIC Converter for Standalone Photovoltaic System

2013 ◽  
Vol 17 ◽  
pp. 529-536 ◽  
Author(s):  
Ahmad H. El Khateb ◽  
Nasrudin Abd Rahim ◽  
Jeyraj Selvaraj
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Control Approach ◽  
Logic Control ◽  
Power Point

scholarly journals Comparative analysis of Maximum Power Point Tracking Algorithms for Photovoltaic Applications

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Power Point

Currently, photovoltaic system has gained importance in electrical power generation system, since it is a clean and renewable energy source. An important characteristic of photovoltaic panels is that the available maximum power is provided only in a single operating point called maximum power point. But the position of maximum power point is not fixed and it moves according to the varying irradiance, varying temperature and the load. This requires a mechanism called maximum power point tracking (MPPT) so that maximum power is obtained effectively. In the literature, many classical methods have been developed and implemented to track the maximum power point. The main objective of this paper is to study and analyze the classical techniques such as Perturb and Observe (P&O), Incremental Conductance (IC) and Fuzzy Logic Control (FLC) algorithms and propose an Adaptive Fuzzy Logic Control (AFLC) for MPPT. The performance of AFLC is compared with the conventional MPPT techniques for varying irradiance. The significance of these methods are studied by implementing the algorithm in MATLAB. The experimental results show the effectiveness and feasibility of the proposed method and the results are verified. The results reveal that the adaptive FLC can quickly track change of MPP for various light intensity and delivers higher power compared to the classical algorithms.

Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

2005 ◽  
Vol 30 (11) ◽  
pp. 1771-1788 ◽  
Author(s):  
Nopporn Patcharaprakiti ◽  
Suttichai Premrudeepreechacharn ◽  
Yosanai Sriuthaisiriwong
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Adaptive Fuzzy Logic ◽  
Power Point

scholarly journals Maximum Power Point Tracker Controller Using Fuzzy Logic Control with Battery Load for Photovoltaics Systems

2021 ◽  
Vol 12 (10) ◽  
pp. 163-181
Author(s):  
Mazen Yeselam Baramadeh ◽  
Mohamed Abd Almonem Abouelela ◽  
Saad Mubarak Alghuwainem
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Logic Control ◽  
Power Point
Sign in / Sign up

Export Citation Format

Share Document