Open AccessAI based MPPT Controller for Solar PV System
Author(s) -
P Rajasekeran,
G. Ezhilarasan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1187.1292s419
Subject(s) - maximum power point tracking , photovoltaic system , converters , control theory (sociology) , boost converter , controller (irrigation) , computer science , voltage , engineering , electrical engineering , control (management) , inverter , artificial intelligence , agronomy , biology
This article discusses Artificial intelligence based Maximum Power Point Tracking (MPPT) for solar Photo-voltaics based system. MPPT is used to improve the efficiency as well as to raise the output through the photovoltaic system through continuous tracking of MPP. The work demands the use of fuzzy logic control technology; hence the PV-cell is interfaced with a DC step-up converter connected with a dc load. Boost converters convert the output of low voltage DC to output of high voltage DC. Following taken through the solar panel are thermal factor like temperature and isolation. The validation of the proposed controller is also discussed.