Annu Govind

Bio: Annu Govind is an academic researcher from Amity University. The author has contributed to research in topics: Phase-locked loop & Harmonic. The author has an hindex of 1, co-authored 2 publications receiving 1 citations.

Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network

Abstract: Adaptive neural network (ANN) topology-based control is proposed in this paper for three phase three wire shunt active power filter (SAPF) application. The proposed controller improves power quality and compensates harmonic components. The system includes a current controlled voltage source inverter (CC-VSI) using three phase insulated gate bipolar transistors (IGBT), a DSP module for generating regulated pulse width modulated (PWM) pulse and reference DC bus. The increase in nonlinear load applications has raised power quality issues. SAPF has emerged as one of the best solutions to improve power quality. Application of ANN in SAPF eliminates the need for unit template generation and the tuning requirement of phase locked loop (PLL), as required in traditional SAPF. The proposed ANN based SAPF can be dynamically regulated for minimum harmonic contamination. The results were obtained and verified in Matlab/ Simulink platform.

Performance enhancement of shunt active power filter using soft computing techniques

Abstract: Nowadays, active power filter (APF) is the most popular device for harmonic compensation. This paper presents the soft computing techniques for compensation of currents harmonics using a shunt active power filter (SAPF). The method includes a 3-phase supply system with a current-controlled voltage source converter (CC-VSC) having an input coupling inductor and output tank capacitor for a self-supported DC bus. The performance of the active power filter can be enhanced by using soft computing techniques such as artificial neural network (ANN) controller and gravitational search algorithm (GSA) for generating control signals of the SAPF. The current reference is calculated to compensate source current THD with synchronous reference frame (SRF) technique with proportional integrator (PI) controller. From the result, it is evident that both the soft computing techniques reduce the computational time & fast convergence which improves the filter performance during the transient period and makes it self-tuned. The proposed structure is simulated using MATLAB/Simulink and subsequently experimentally verified. The presentation of the system is originated to be suitable for numerous features of power quality enhancement structure.

Performance Analysis of Three Phase Grid Connected PV Array with ANN Controlled SAPF

Abstract: Three phase Shunt Active Power Filters (SAPF) are widely used to inject required amount of compensating current to eliminate current harmonics generated by Non-Linear Loads (NLL) and restore sinusoidal waveform of the supply. This paper analyze the development of a three phase grid connected PV array generating a P&O algorithm based MPPT tracked DC power, converted to AC power by PLL controlled VSI supplying a NLL connected with SAPF constituting of series inductor, ANN based self-supported DC link capacitor connected to IGBT based Current controlled VSI compensating for load induced current harmonics in the line. The developed SAPF works on instantaneous active and reactive power measurements to calculate the reference current for the HBCC to produce the gate pulse for the inverter. The proposed model is developed in MATLAB 17a Simulink and Levenberg Marquardt training algorithm based ANN is implemented to regulate DC link capacitor voltage. Simulated results approves the proposed control technique for a fast and flexible dynamic response of the solar to three phase compensated grid system and Total Harmonic Distortion of supply current is found to be satisfactory as per the IEEE-519 standards.