POWER QUALITY IMPROVEMENT OF GRID INTERCONNECTED DISTRIBUTION SYSTEM USING FSS-LMS ALGORITHM

R.Dhinesh Kumar, V.Malathi

Abstract: This paper presents a fuzzy step size least mean square (LMS) algorithm for grid connected renewable energy source. The main objective is to mitigate the harmonics and the neutral current compensation. The conventional controllers may fail due to the rapid change in the dynamics of the highly non-linear system. The fuzzy step size least mean square (FSS-LMS) algorithm in handling theuncertainties and learning from the processes is proved to be advantageous while the inverter operating at fluctuatingoperating conditions. The inverter is controlled tocompensate the harmonics and current imbalance of a three phase four wire non-linear load with generatedrenewable power injection in to the grid.The grid will always supply/absorb a balanced set offundamental currents at unity power factor even in the presence of three phase four wire non-linear unbalance load at point of common coupling(PCC).The proposed system is developed and simulated inMATLAB/SimPowerSystem environment under differentoperating conditions.

Keywords: Fuzzy step size-least mean square(FSS-LMS) algorithm, Non-linear load, Active Power Filter, Distributed Generation, Grid Connection. Renewable Energy

DOI: https://doi.org/10.15623/ijret.2013.0206006