Improving transient stability using fast valving based on tracking rotor-angle and active power | IEEE Conference Publication | IEEE Xplore

Improving transient stability using fast valving based on tracking rotor-angle and active power


Abstract:

This paper proposes a multi-agent technique that is divided into two parts. The first part is a tracking agent that will track generators rotor angle to determine power s...Show More

Abstract:

This paper proposes a multi-agent technique that is divided into two parts. The first part is a tracking agent that will track generators rotor angle to determine power system instability. According to the tracking agent's output, the control agent is initiated. The tracking agent uses off-line time domain analysis to build lookup tables of required fast valving. The tracking agent employs two sub-agents. The first sub-agent determines if fast valving is required to attain transient stability for each credible system disturbance and operating condition. The second sub-agent compares the electric power for each generator before and after the disturbance to determine the appropriate reduction of mechanical power to stabilize the system. The control agent is turbine fast valving. The resulting multi-agent technique can determine 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.
Date of Conference: 21-25 July 2002
Date Added to IEEE Xplore: 26 September 2005
Print ISBN:0-7803-7518-1
Conference Location: Chicago, IL, USA

I. INTRODUCTION

For decades, researchers in the power system area have devoted a great effort to find globally robust, decentralized methods to control the large disturbances of the power system. To do so requires analysis of the new system state and synthesis of an appropriate system reconfiguration. Such analysis and synthesis must be performed fast enough that the disturbance does not lead to cascading sequences of events that will lead to a catastrophic failures and system black out.

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References

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