scholarly journals Design and Simulation of SEPIC Converter with Fuzzy-logic MPPT for Standalone System

2020 ◽  
pp. 112-119
Author(s):  
Sudharsan V N, Dr.K. Ranjith Kumar Rahulkumar J
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Control Scheme ◽  
Power Point

This Paper establishes the system of Solar fed independent systems with a SEPIC converter with Dual Input and Dual output. The Maximum power point tracking of solar has been achieved by Fuzzy-logic Control method. The Control scheme implemented in this helps to extract maximum power effectively. The various suitable operations of converter have been achieved through Real time simulator (RTDS) and the outcomes are highlighted.

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.

Defining Control Strategies for Micro Grids Islanded Operation with Maximum Power Point Tracking using a Fuzzy Logic Control Scheme

2016 ◽  
Vol 7 (3) ◽  
pp. 723 ◽  
Author(s):  
B V Rajanna ◽  
Ganta Joga Rao ◽  
S.K Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Control Scheme ◽  
Micro Grid ◽  
Power Point

<p>This paper explains about an intelligent control method for the maximum power point tracking (MPPT) of a photo voltaic system with different temperature and insolation conditions. This method uses a fuzzy logic controller applied to a DC-DC converter. The different steps of the design of this controller are presented together with its simulation and the feasibility of control methods to be adopted for the operation of a micro grid when it becomes isolated. Normally, the micro grid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation can take place. In such conditions, the micro grid must have the ability to operate stably and autonomously. An evaluation of the need of storage devices and load to take off strategies is included in this paper. The MPPT of a photovoltaic system for Micro Grid operaion using a Fuzzy logic control scheme is successfully designed and simulated by using MATLAB/Simulink Software.</p>

Maximum power point tracking using fuzzy logic control

2012 ◽  
Vol 39 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Mohamed M. Algazar ◽  
Hamdy AL-monier ◽  
Hamdy Abd EL-halim ◽  
Mohamed Ezzat El Kotb Salem
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Logic Control ◽  
Power Point
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