DocumentCode :
343104
Title :
Voltage risk assessment
Author :
McCalley, James D. ; Vittal, Vijay ; Wan, Hua ; Dai, Yougie ; Abi-Samra, Nicholas
Author_Institution :
Iowa State Univ., Ames, IA, USA
Volume :
1
fYear :
1999
fDate :
18-22 Jul 1999
Firstpage :
179
Abstract :
This paper describes computational techniques for computing risk associated with voltage insecurity, where risk is assessed as the product of probability and consequence of under-voltage and voltage collapse. In contrast to deterministic assessment of voltage security, our approach directly accounts for uncertainties in the analysis. An approach for operational assessment is provided that uses continuation power flow methods. In addition, a planning approach is described which utilizes an interior point optimization method to identify maximum loading conditions over a sequential trajectory of operating conditions. Analysis of the IEEE Reliability Test System illustrates results that are obtained from the approaches
Keywords :
load flow; power system dynamic stability; power system security; probability; risk management; IEEE Reliability Test System; computational techniques; continuation power flow methods; interior point optimization method; maximum loading conditions identification; operational assessment; planning approach; probabilistic risk; probability; uncertainties; under-voltage; voltage collapse; voltage insecurity; voltage risk assessment; Load flow; Optimization methods; Power system planning; Power system reliability; Risk management; Security; System testing; Trajectory; Uncertainty; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
0-7803-5569-5
Type :
conf
DOI :
10.1109/PESS.1999.784343
Filename :
784343
Link To Document :
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