Litcius/Paper detail

Smooth LMS‐based adaptive control of SPV system tied to grid for enhanced power quality

Pallavi Verma, Rachana Garg, Priya Mahajan

2020IET Power Electronics17 citationsDOI

Abstract

In this study, a novel smooth least mean square (LMS) algorithm for controlling PV inverter has been proposed to estimate the reference current for synchronisation of solar photovoltaic (SPV) to the grid. The proposed control extracts both active and reactive fundamental components of the load current with improved convergence rate. These currents are compared with sensed grid currents to generate gating pulses for a voltage source converter. It also compensates the load harmonics, reduces voltage fluctuation at point of common coupling and supplies the reactive power demand of the local load. The algorithm has been tested under steady state and transient conditions for input variation as well as load variation under the power factor correction mode of operation. The algorithm has been developed in MATLAB/Simulink. Further, the efficacy of the proposed control algorithm has been tested on prototype hardware setup developed in the laboratory using dSPACE1104. The total harmonic distortion at the grid side, obtained from simulated and hardware results are well within the IEEE standards.

Topics & Concepts

Photovoltaic systemHarmonicsControl theory (sociology)Least mean squares filterTotal harmonic distortionPower factorAC powerMicrogridMaximum power point trackingMATLABHarmonicComputer scienceGridTransient (computer programming)VoltageElectronic engineeringInverterEngineeringAdaptive filterElectrical engineeringControl (management)MathematicsQuantum mechanicsOperating systemArtificial intelligenceGeometryPhysicsPhotovoltaic System Optimization TechniquesMicrogrid Control and OptimizationPower Systems and Renewable Energy