Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network

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

doi:10.1016/j.engappai.2004.08.014

Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

In this paper, the dual heuristic programming (DHP) optimization algorithm is applied for the design of two LOCAL nonlinear optimal neuro-controllers on a practical multi-machine power system. One neuro-controller is designed to replace the conventional linear controllers, which are the automatic voltage regulator (AYR) and speed-governor (GOV), for a synchronous generator. The other is a new external neuro-controller for the series capacitive reactance compensator (SCRC), flexible ac transmission systems (FACTS) device. The PSCAD/EMTDC® simulation results show that interactions of two DHP neuro-controllers with different control objectives improve the system performance more effectively compared to when each one operates without the presence of the other one.

Original language	English
Pages (from-to)	37-46
Number of pages	10
Journal	Engineering Applications of Artificial Intelligence
Volume	18
Issue number	1
DOIs	https://doi.org/10.1016/j.engappai.2004.08.014
Publication status	Published - 2005 Feb

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation (NSF), USA under Grant No. ECS-0231632, Duke Power Company, Charlotte, USA, Georgia Institute of Technology, Atlanta, USA, and University of Missouri-Rolla, USA.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Artificial Intelligence
Electrical and Electronic Engineering

Access to Document

10.1016/j.engappai.2004.08.014

Cite this

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title = "Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network",

abstract = "In this paper, the dual heuristic programming (DHP) optimization algorithm is applied for the design of two LOCAL nonlinear optimal neuro-controllers on a practical multi-machine power system. One neuro-controller is designed to replace the conventional linear controllers, which are the automatic voltage regulator (AYR) and speed-governor (GOV), for a synchronous generator. The other is a new external neuro-controller for the series capacitive reactance compensator (SCRC), flexible ac transmission systems (FACTS) device. The PSCAD/EMTDC{\textregistered} simulation results show that interactions of two DHP neuro-controllers with different control objectives improve the system performance more effectively compared to when each one operates without the presence of the other one.",

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note = "Funding Information: This work was supported by the National Science Foundation (NSF), USA under Grant No. ECS-0231632, Duke Power Company, Charlotte, USA, Georgia Institute of Technology, Atlanta, USA, and University of Missouri-Rolla, USA. ",

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Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network

Abstract

Bibliographical note

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