DocumentCode :
2596661
Title :
Configure vulnerability assessment based on potential energy model
Author :
Liu, Qunying ; Liu, Junyong ; Huang, Qi
Author_Institution :
Dept. of Electr. Eng. & Control, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
7
Abstract :
According to the integral theory of energy function, branch potential energy function model is constructed, and then two indexes are proposed: one is the current vulnerability, which quantifies the distance between the current transmitted power and initial transmitted power to identify the current vulnerable area, the other is the forecasting vulnerability, which is gained through computing the branch vulnerability considering the impact of power injection changing. By the two indexes, the current and forecasting vulnerable area can be identified and the correctness of the former one can be validated. Through the simulations in IEEE-30 bus system and the comparison with optimal power flow under N-1 and N-2 faults, the results show that the branch potential energy function model have many advantages such as rapid computation without being influenced by the convergent condition of power flow, identifying and forecasting the vulnerable branch exactly. Because of these, the application of this method on the on-line security monitoring is expected.
Keywords :
load flow; power system measurement; power system security; power transmission faults; IEEE-30 bus system; branch potential energy function model; branch vulnerability; configure vulnerability assessment; energy function theory; online security monitoring; optimal power flow; potential energy model; power injection; transmitted power; vulnerability forecasting; Load flow; Load forecasting; Potential energy; Power system modeling; Power system security; Power transmission; Predictive models; Reactive power; Senior members; Voltage; Branch Potential Energy; Configure Vulnerability; Phase Angle Difference; the Current Vulnerability; the Forecasting Vulnerability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5347888
Filename :
5347888
Link To Document :
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