Neural Network Based Decentralized Controls of Large Scale Power Systems

Wenxin Liu; Jagannathan Sarangapani; Ganesh K. Venayagamoorthy; Donald C. Wunsch; Mariesa Crow; Li Liu; David A. Cartes

doi:10.1109/ISIC.2007.4450966

Neural Network Based Decentralized Controls of Large Scale Power Systems

Wenxin Liu
, Jagannathan Sarangapani
, Ganesh K. Venayagamoorthy
, Donald C. Wunsch
, Mariesa Crow
, Li Liu
, David A. Cartes

Electrical and Computer Engineering

Missouri University of Science and Technology

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

Abstract

This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.

Original language	American English
Journal	Proceedings of the IEEE 22nd International Symposium on Intelligent Control, 2007 (2007, Singapore)
DOIs	https://doi.org/10.1109/ISIC.2007.4450966
State	Published - Oct 1 2007

Keywords

Decentralized Control
Neurocontrollers
Power System Control
Power System Interconnection
Power System Stability

Disciplines

Computer Sciences
Electrical and Computer Engineering
Operations Research, Systems Engineering and Industrial Engineering

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10.1109/ISIC.2007.4450966License: CC BY

Neural Network Based Decentralized Controls of Large Scale PowerFinal published version, 370 KBLicense: CC BY

Cite this

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title = "Neural Network Based Decentralized Controls of Large Scale Power Systems",

abstract = " This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.",

keywords = "Decentralized Control, Neurocontrollers, Power System Control, Power System Interconnection, Power System Stability",

author = "Wenxin Liu and Jagannathan Sarangapani and Venayagamoorthy, \{Ganesh K.\} and Wunsch, \{Donald C.\} and Mariesa Crow and Li Liu and Cartes, \{David A.\}",

year = "2007",

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doi = "10.1109/ISIC.2007.4450966",

language = "American English",

journal = "Proceedings of the IEEE 22nd International Symposium on Intelligent Control, 2007 (2007, Singapore)",

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T1 - Neural Network Based Decentralized Controls of Large Scale Power Systems

AU - Liu, Wenxin

AU - Sarangapani, Jagannathan

AU - Venayagamoorthy, Ganesh K.

AU - Wunsch, Donald C.

AU - Crow, Mariesa

AU - Liu, Li

AU - Cartes, David A.

PY - 2007/10/1

Y1 - 2007/10/1

N2 - This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.

AB - This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.

KW - Decentralized Control

KW - Neurocontrollers

KW - Power System Control

KW - Power System Interconnection

KW - Power System Stability

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/1759

U2 - 10.1109/ISIC.2007.4450966

DO - 10.1109/ISIC.2007.4450966

M3 - Article

JO - Proceedings of the IEEE 22nd International Symposium on Intelligent Control, 2007 (2007, Singapore)

JF - Proceedings of the IEEE 22nd International Symposium on Intelligent Control, 2007 (2007, Singapore)

ER -

Neural Network Based Decentralized Controls of Large Scale Power Systems

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Keywords

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