DocumentCode :
3362136
Title :
The Research of Power System Operation Risk Assessment Modeling Based on Cloud Models
Author :
Xie, Hong-Ling ; Wen, Xiu-feng ; Li, Yan-qing ; Xie, Qing ; Li, Lin
Author_Institution :
Electr. Power Dept., North China Electr. Power Univ., Bao Ding
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
Abstract :
Because there are lots of random and fuzzy uncertainty factors in power system, the certainty model used to be adopted in reliability research were not reasonable. But cloud models theory is a powerful tool to convert numerical quantitative analysis to conceptual qualitative analysis. In this paper on the basis of introduction of cloud models, the parameter and load cloud models in actual operation of power system is proposed and established to solve the uncertainty of the value FOR and the changing of load. And base the model takes the risk assessment by used the RBTS reliability test system and come out the risk indexes represented by cloud model. The result show that system actual operation condition based cloud models suit the Scene actual.
Keywords :
fuzzy set theory; power system reliability; power system simulation; risk management; uncertain systems; RBTS reliability test system; cloud model; conceptual qualitative analysis; fuzzy uncertainty factor; numerical quantitative analysis; power system operation; random factors; risk assessment modeling; Clouds; Fuzzy systems; Layout; Load modeling; Power system analysis computing; Power system modeling; Power system reliability; Risk management; System testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918903
Filename :
4918903
Link To Document :
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