10 Citations (Scopus)

Abstract

This paper presents an inverter control method based on Diagonal Recurrent Neural Network (DRNN) for phase power balancing of diesel generator - battery hybrid system. Symmetrical sequence is used to extract the unbalance current and voltage of the diesel generator. The DRNN regulates errors between the reference signal and the symmetrical sequence decomposition. After re-composition process, the signal is then fed to four-leg inverter, which is connected in parallel to the diesel generator. The inverter regulates current and voltage of the system toward a balanced condition. Simulation results show that the DRNN system reduces unbalanced phase current from 46% to 12%, and voltage from 6.2% to 3.0%.

Original languageEnglish
Title of host publication2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011
Publication statusPublished - 2011
Event2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011 - Brisbane, QLD, Australia
Duration: 25 Sept 201128 Sept 2011

Publication series

Name2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011

Conference

Conference2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011
Country/TerritoryAustralia
CityBrisbane, QLD
Period25/09/1128/09/11

Keywords

  • diagonal recurrent neural network
  • hybrid diesel - battery
  • inverter 3 phase 4 legs
  • phase power balancing

Fingerprint

Dive into the research topics of 'Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network'. Together they form a unique fingerprint.

Cite this