DocumentCode :
1786856
Title :
Statistical method for voltage collapse proximity estimation in large power systems
Author :
Sanz, F.A. ; Ramirez, J.M.
Author_Institution :
Institucion Univ. Salazar y Herrera, Medellin, Colombia
fYear :
2014
fDate :
12-14 Nov. 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this work, a reliable method for voltage collapse proximity estimation in large power systems is proposed. Whereas in most cases the security problems arising from the voltage instabilities, a strategy to estimate the voltage collapse proximity under the assumption that power flow calculation is not necessary, requiring only the bus voltage measurement, therefore, the proposed approach is a promising tool to be implemented on-line. The result is a model, built using statistical techniques that analyze a data base previously obtained, which contain the voltage profiles for different contingency states and respective index values calculated for the Voltage Collapse Proximity Index (VCPI).
Keywords :
power system dynamic stability; power system security; statistical analysis; VCPI; bus voltage measurement; contingency states; large-power systems; respective index values; security problems; statistical method; voltage collapse proximity estimation; voltage collapse proximity index; voltage instabilities; voltage profiles; Analysis of variance; Indexes; Jacobian matrices; Power system stability; Predictive models; Vectors; Voltage measurement; VCPI; Voltage stability; stability indices; statistical methods; voltage collapse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Central America and Panama Convention (CONCAPAN XXXIV), 2014 IEEE
Conference_Location :
Panama City
Type :
conf
DOI :
10.1109/CONCAPAN.2014.7000470
Filename :
7000470
Link To Document :
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