USP Theses Collection


Menu



A B C D E F G H I J-L M N O P Q-R S T U-V W-Y
close this section of the library Photovoltaic power generation. Photovoltaic power systems. Electric inverters. Electric power production. Artificial intelligence. Adaptive control systems. Neural networks (Computer science).


View the PDF document A novel control strategy for three-phase grid-connected photovoltaic inverters using an adaptive feed-forward neural network
Author: Chand, Shyamal Shivneel
Institution: The University of the South Pacific
Award: M.Sc. Engineering
Subject: Photovoltaic power generation. Photovoltaic power systems. Electric inverters. Electric power production. Artificial intelligence. Adaptive control systems. Neural networks (Computer science).
Date: 2022
Call No.: Pac TK 1087 .C43 2022
BRN: 1394068
Copyright:30% of this thesis may be copied without the authors written permission

Abstract: This thesis presents a single-stage grid-connected three-phase photovoltaic inverter injecting power into the grid with an interconnecting filter as a simple inductor with a series resistor to minimize three-phase current Total Harmonic Distortion (THD).
Disclaimer & Copyright l Contact Us l
© Copyright 1968 - 2018. All Rights Reserved.
USP Library
The University of the South Pacific
Laucala Campus, Suva, Fiji
Tel: +679 323 1000