DocumentCode :
1395492
Title :
Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
Author :
Rodrigues, Anselmo Barbosa ; Prada, Ricardo B. ; da Guia da Silva, Maria
Author_Institution :
Dept. of Electr. Eng., Pontifical Catholic Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Volume :
25
Issue :
3
fYear :
2010
Firstpage :
1575
Lastpage :
1588
Abstract :
Several papers have recognized the effect of uncertainties in voltage stability analysis through probabilistic methods. In these papers, the unstable states are generally identified by the unsolvability of the power flow equations or by violations in the voltage stability margin limit. However, voltage stability problems may also be associated with a loss in voltage controllability, when a voltage control action has an effect which is contrary to what is usually expected. The main aim of this paper is to include unstable states caused by unsolvability and voltage controllability loss in the voltage stability probabilistic assessment. This goal is achieved through the combination of three techniques: the Monte Carlo Simulation Method, the nonlinear optimal power flow and the D´ matrix method. These three techniques permit the inclusion of a new issue in the computation of voltage instability risk: the unstable states stemming from controllability loss.
Keywords :
Monte Carlo methods; controllability; load flow; matrix algebra; power system stability; voltage control; Monte Carlo simulation method; composite systems; controllability loss; matrix method; modeling unsolvability; nonlinear optimal power flow; power flow equations; probabilistic methods; voltage control action; voltage instability risk; voltage stability margin limit; voltage stability probabilistic assessment; Composite systems; Monte Carlo simulation; interior point method; optimal power flow; probabilistic methods; sensitivity analysis; voltage stability;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2009.2039234
Filename :
5398848
Link To Document :
بازگشت