On-line transient stability enhancement using multi-agent technique

George G. Karady; Ahmed A. Daoud; Mansour A. Mohamed

On-line transient stability enhancement using multi-agent technique

George G. Karady, Ahmed A. Daoud, Mansour A. Mohamed

Electrical, Computer, and Energy Engineering, School of (ECEE)

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

31 Scopus citations

Abstract

This paper proposes a multi-agent technique that is divided into two parts. The first part is a prediction agent that will predict power system instability. According to the prediction agent's output, control agent is initiated. The prediction agent is adapted from a proven robotic ball-catching algorithm. The control agent initiates turbine fast valving. The resulting multi-agent technique can predict system instability and establish system stability. Decoded MATLAB programs of both agents are linked to ETMSP program, power system simulation program, used in verifying the results. Results show that the proposed technique could be used on-line for power system instability prediction and control if the control agent speed can be increased.

Original language	English (US)
Title of host publication	Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Pages	893-899
Number of pages	7
Volume	2
State	Published - 2002
Event	2002 IEEE Power Engineering Society Winter Meeting - New York, NY, United States Duration: Jan 27 2002 → Jan 31 2002

Other

Other	2002 IEEE Power Engineering Society Winter Meeting
Country/Territory	United States
City	New York, NY
Period	1/27/02 → 1/31/02

ASJC Scopus subject areas

Energy(all)
Engineering(all)

Cite this

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title = "On-line transient stability enhancement using multi-agent technique",

abstract = "This paper proposes a multi-agent technique that is divided into two parts. The first part is a prediction agent that will predict power system instability. According to the prediction agent's output, control agent is initiated. The prediction agent is adapted from a proven robotic ball-catching algorithm. The control agent initiates turbine fast valving. The resulting multi-agent technique can predict system instability and establish system stability. Decoded MATLAB programs of both agents are linked to ETMSP program, power system simulation program, used in verifying the results. Results show that the proposed technique could be used on-line for power system instability prediction and control if the control agent speed can be increased.",

author = "Karady, {George G.} and Daoud, {Ahmed A.} and Mohamed, {Mansour A.}",

year = "2002",

language = "English (US)",

volume = "2",

pages = "893--899",

booktitle = "Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference",

note = "2002 IEEE Power Engineering Society Winter Meeting ; Conference date: 27-01-2002 Through 31-01-2002",

}

TY - GEN

T1 - On-line transient stability enhancement using multi-agent technique

AU - Karady, George G.

AU - Daoud, Ahmed A.

AU - Mohamed, Mansour A.

PY - 2002

Y1 - 2002

N2 - This paper proposes a multi-agent technique that is divided into two parts. The first part is a prediction agent that will predict power system instability. According to the prediction agent's output, control agent is initiated. The prediction agent is adapted from a proven robotic ball-catching algorithm. The control agent initiates turbine fast valving. The resulting multi-agent technique can predict system instability and establish system stability. Decoded MATLAB programs of both agents are linked to ETMSP program, power system simulation program, used in verifying the results. Results show that the proposed technique could be used on-line for power system instability prediction and control if the control agent speed can be increased.

AB - This paper proposes a multi-agent technique that is divided into two parts. The first part is a prediction agent that will predict power system instability. According to the prediction agent's output, control agent is initiated. The prediction agent is adapted from a proven robotic ball-catching algorithm. The control agent initiates turbine fast valving. The resulting multi-agent technique can predict system instability and establish system stability. Decoded MATLAB programs of both agents are linked to ETMSP program, power system simulation program, used in verifying the results. Results show that the proposed technique could be used on-line for power system instability prediction and control if the control agent speed can be increased.

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M3 - Conference contribution

AN - SCOPUS:0036089458

VL - 2

SP - 893

EP - 899

BT - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

T2 - 2002 IEEE Power Engineering Society Winter Meeting

Y2 - 27 January 2002 through 31 January 2002

ER -

On-line transient stability enhancement using multi-agent technique

Abstract

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ASJC Scopus subject areas

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