ANFIS Based Control of A Grid Connected Hybrid Renewable Energies for Smart Grid Application |
Author(s): |
| Sakthikumaresan P , V.S.B ENGINEERING COLLEGE; C.P.Kandasamy, V.S.B ENGINEERING COLLEGE |
Keywords: |
| ANFIS, SEPIC converter, bidirectional dc/ac converter, Bidirectional Intelligent Semiconductor Transformer (BIST) |
Abstract |
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In this paper describes and performance an adaptive neuro-fuzzy inference system (ANFIS)-based energy management system (EMS) of a grid-connected hybrid system for smart grid application. As a part of hybrid system consists of wind turbine (WT) and photovoltaic (PV) solar panels as a primary energy sources. Then rectified wind output and solar panel output which combined given to SEPIC converters in order to connect them to a central DC grid. Additionally, it connects the hybrid system to the single-phase inverter and smart grid. This smart grid consists of new bidirectional intelligent semiconductor transformer (BIST), high frequency ac-dc rectifier and low voltage dc-dc converter hybrid switching dc-ac converter. |
Other Details |
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Paper ID: IJSRDV2I12340 Published in: Volume : 2, Issue : 12 Publication Date: 01/03/2015 Page(s): 417-422 |
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