Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network

M. Ashari; D. K. Setiawan; Soedibyo

Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network

M. Ashari^*, D. K. Setiawan, Soedibyo

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011
Publication status	Published - 2011
Event	2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011 - Brisbane, QLD, Australia Duration: 25 Sept 2011 → 28 Sept 2011

Publication series

Name	2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011

Conference

Conference	2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011
Country/Territory	Australia
City	Brisbane, QLD
Period	25/09/11 → 28/09/11

Keywords

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

Cite this

@inproceedings{dbfe8ac9954c4b029336662ea65f4240,

title = "Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network",

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%.",

keywords = "diagonal recurrent neural network, hybrid diesel - battery, inverter 3 phase 4 legs, phase power balancing",

author = "M. Ashari and Setiawan, {D. K.} and Soedibyo",

year = "2011",

language = "English",

isbn = "9781457717932",

series = "2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011",

booktitle = "2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011",

note = "2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011 ; Conference date: 25-09-2011 Through 28-09-2011",

}

Ashari, M, Setiawan, DK & Soedibyo 2011, Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network. in 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011., 6102573, 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011, 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011, Brisbane, QLD, Australia, 25/09/11.

Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network. / Ashari, M.; Setiawan, D. K.; Soedibyo.
2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011. 2011. 6102573 (2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network

AU - Ashari, M.

AU - Setiawan, D. K.

AU - Soedibyo,

PY - 2011

Y1 - 2011

N2 - 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%.

AB - 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%.

KW - diagonal recurrent neural network

KW - hybrid diesel - battery

KW - inverter 3 phase 4 legs

KW - phase power balancing

UR - http://www.scopus.com/inward/record.url?scp=84855720140&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84855720140

SN - 9781457717932

T3 - 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011

BT - 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011

T2 - 2011 21st Australasian Universities Power Engineering Conference, AUPEC 2011

Y2 - 25 September 2011 through 28 September 2011

ER -

Inverter control for phase balancing of diesel generator - Battery hybrid power system using Diagonal Recurrent Neural Network

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Keywords

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