DocumentCode
2104957
Title
Probabilistic Static Voltage Stability Security Assessment for Power Transmission System
Author
Wang, Dongtao ; Yu, Yixin
Author_Institution
Dept. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
A probabilistic static voltage stability security assessment model based on stochastic load flow (SLF) and static voltage stability region in cut-set space (CVSR) is presented. Uncertainties in loads and generation power injections, probabilities of critical contingencies can be considered in the model. The probabilistic distribution functions (PDFs) of line flows of key cut-set are obtained by stochastic load flow, and the PDFs of linear combination of line flows in CVSR are deduced by Gram-Charlier progression and Cumulants. Then the probability of static voltage instability is calculated by hyperplane equation of CVSR. By analysis of probability index, faults making the most contribution to the system static voltage insecurity probability are obtained. The results of probabilistic static voltage stability security assessment can be applied in making decision of preventive control. Test results on the New England 10-genarator 39-bus system are presented and the effectiveness of this approach has been proved.
Keywords
power system security; power system stability; stochastic processes; transmission networks; critical contingencies; generation power injections; linear combination; power transmission system; probabilistic distribution functions; probabilistic static voltage stability security assessment; probability index; stochastic load flow; Distribution functions; Load flow; Power generation; Power system modeling; Power system security; Power transmission; Stability; Stochastic processes; Uncertainty; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448896
Filename
5448896
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