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Anfis Based Control for Hybrid Renewable Energy using Voltage Lift Technique with Smart Grid Application


Author(s):

Sakthikumareasn P , V.S.B ENGINEERING COLLEGE KARUR; C.P.Kandasamy , Assistant Professor/EEE

Keywords:

ANFIS Based EMS, Hybrid System, LUO, Bidirectional Intelligent Semiconductor Transformer (BIST), Smart Grid, Load Demand

Abstract:

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. The hybrid system consists of wind turbine (WT) and solar photovoltaic (PV) panels as a primary energy sources. The rectified wind output and solar panel output is given to LUO converter for boost up the DC voltage in order to connect them to a central DC grid. Then, the power has taken from the DC grid and it is given to the AC smart grid system through H-bridge inverter. The smart grid system consists of new bidirectional intelligent semiconductor transformer (BIST), high frequency ac-dc rectifier and low voltage dc-dc converter hybrid switching dc-ac converter. The smart grid system satisfied the load requirement and in case if the demand is low it will return the excess power to the grid also. On the whole, this proposed system utilizes the best use of solar and wind energy system so that the power can be generated at any time and satisfied the load demand.


Other Details:

Manuscript Id :IJSTEV1I11039
Published in :Volume : 1, Issue : 11
Publication Date: 01/06/2015
Page(s): 240-246
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