Open AccessExtracting Maximum Power from PV Model using Fuzzy Logic Technique
Author(s) -
Prakash Chittora,
Sushil Kumar Shukla,
Sneha Yadav,
V. S. Rathore,
Rakesh Yadav
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6448.069820
Subject(s) - renewable energy , maximum power point tracking , photovoltaic system , grid parity , maximum power principle , computer science , solar energy , energy conservation , environmental science , electricity generation , environmental economics , automotive engineering , power (physics) , process engineering , electrical engineering , engineering , distributed generation , physics , economics , inverter , quantum mechanics , voltage
Electricity has become an inseparable part of our daily lives, its domain approach is boundless. Due to continuous use of energy resources (both renewable and non- renewable), it is our priority to conserve our resources. What is extracting power through PV cell? Solar energy is inexhaustible and can be extracted to electrical energy which eases the high consumption of non renewable resources. How to maximize the solar energy? Maximum energy can be obtained by some external aid in the form of MPPT. Why do we incorporate different techniques in a MPPT? To control the maintenance of operating point of PV array at its maximum peak Optimization of renewable energy has drastically increased over the past few decades and now capable of conservation at a higher level. Solar energy is prime example of renewable source. Not more than 50% solar irradiance is converted to solar energy without any external aid (MPPT). These techniques are mentioned in the literature work below and the respective algorithms as well.