Open Access
An Multi-Input ZCS DC-DC Front-End- Converter Based Multilevel Inverter for the Integration of Renewable Energy Sources
Author(s) -
R R Bavatharani,
N. Narmadhai
Publication year - 2020
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst060624
Subject(s) - chopper , artificial neural network , computer science , front and back ends , matlab , power (physics) , inverter , electronic engineering , function (biology) , control theory (sociology) , topology (electrical circuits) , electrical engineering , engineering , voltage , artificial intelligence , physics , control (management) , quantum mechanics , operating system , evolutionary biology , biology
This paper dealt with current fed front end current switched DC chopper interfaced with multilevel inverterposses multiple inputs. The converter holds two switches only to accept two inputs. Then the switching stressbecomes low and simple in structure. Reduced number of active and passive components makes the circuitbecomes convenient for high power applications, intensive to prevent the entire circuit from losses. The ZCSturn-off is enabled through proposed Artificial Neural Networks (ANN).In the proposed work, Function FittingNeural Network technique is considered. The proposed structure is simulated using MATLAB. The simulationresult shows that the proposed inter combined network avoids switching losses.