New external neuro-controller for series capacitive reactance compensator in a power network

Jung Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

The controllable capacitive reactance can be used as the input variable for the external controller of a series capacitive reactance compensator (SCRC) to improve the damping of low-frequency oscillations of the rotor angle and active power in a power system. Conventional linear PI controllers are tuned for best performance at one specific operating point of the nonlinear power system. At other operating point its performance degrades. Nonlinear optimal neuro-controllers are able to overcome this degradation. In this paper, the dual heuristic dynamic programming (DHP) optimization algorithm is applied to design an external nonlinear optimal neuro-controller for the SCRC. Simulation studies using PSCAD/EMTDC® software are presented.

Original languageEnglish
Pages (from-to)1462-1472
Number of pages11
JournalIEEE Transactions on Power Systems
Volume19
Issue number3
DOIs
Publication statusPublished - 2004 Aug 1

Fingerprint

Controllers
Dynamic programming
Rotors
Damping
Degradation

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Park, Jung Wook ; Harley, Ronald G. ; Venayagamoorthy, Ganesh K. / New external neuro-controller for series capacitive reactance compensator in a power network. In: IEEE Transactions on Power Systems. 2004 ; Vol. 19, No. 3. pp. 1462-1472.
@article{e8f4170839e24cdda30e80e22a60b2b6,
title = "New external neuro-controller for series capacitive reactance compensator in a power network",
abstract = "The controllable capacitive reactance can be used as the input variable for the external controller of a series capacitive reactance compensator (SCRC) to improve the damping of low-frequency oscillations of the rotor angle and active power in a power system. Conventional linear PI controllers are tuned for best performance at one specific operating point of the nonlinear power system. At other operating point its performance degrades. Nonlinear optimal neuro-controllers are able to overcome this degradation. In this paper, the dual heuristic dynamic programming (DHP) optimization algorithm is applied to design an external nonlinear optimal neuro-controller for the SCRC. Simulation studies using PSCAD/EMTDC{\circledR} software are presented.",
author = "Park, {Jung Wook} and Harley, {Ronald G.} and Venayagamoorthy, {Ganesh K.}",
year = "2004",
month = "8",
day = "1",
doi = "10.1109/TPWRS.2004.826802",
language = "English",
volume = "19",
pages = "1462--1472",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

New external neuro-controller for series capacitive reactance compensator in a power network. / Park, Jung Wook; Harley, Ronald G.; Venayagamoorthy, Ganesh K.

In: IEEE Transactions on Power Systems, Vol. 19, No. 3, 01.08.2004, p. 1462-1472.

Research output: Contribution to journalArticle

TY - JOUR

T1 - New external neuro-controller for series capacitive reactance compensator in a power network

AU - Park, Jung Wook

AU - Harley, Ronald G.

AU - Venayagamoorthy, Ganesh K.

PY - 2004/8/1

Y1 - 2004/8/1

N2 - The controllable capacitive reactance can be used as the input variable for the external controller of a series capacitive reactance compensator (SCRC) to improve the damping of low-frequency oscillations of the rotor angle and active power in a power system. Conventional linear PI controllers are tuned for best performance at one specific operating point of the nonlinear power system. At other operating point its performance degrades. Nonlinear optimal neuro-controllers are able to overcome this degradation. In this paper, the dual heuristic dynamic programming (DHP) optimization algorithm is applied to design an external nonlinear optimal neuro-controller for the SCRC. Simulation studies using PSCAD/EMTDC® software are presented.

AB - The controllable capacitive reactance can be used as the input variable for the external controller of a series capacitive reactance compensator (SCRC) to improve the damping of low-frequency oscillations of the rotor angle and active power in a power system. Conventional linear PI controllers are tuned for best performance at one specific operating point of the nonlinear power system. At other operating point its performance degrades. Nonlinear optimal neuro-controllers are able to overcome this degradation. In this paper, the dual heuristic dynamic programming (DHP) optimization algorithm is applied to design an external nonlinear optimal neuro-controller for the SCRC. Simulation studies using PSCAD/EMTDC® software are presented.

UR - http://www.scopus.com/inward/record.url?scp=4043137870&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=4043137870&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2004.826802

DO - 10.1109/TPWRS.2004.826802

M3 - Article

VL - 19

SP - 1462

EP - 1472

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

SN - 0885-8950

IS - 3

ER -