2013 IEEE Power &Amp; Energy Society General Meeting 2013
DOI: 10.1109/pesmg.2013.6672335
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Effect of numerical integration on critical time evaluation in power system stability studies

Abstract: The effect of numerical integration on time-domain power system simulations when evaluating the fault critical clearing time (CCT) is discussed in relation to stability and accuracy of integration methods. The specificity of CCT simulations is that the power system is close to its physical stability limits. While decreasing the time step is widely thought to be an effective measure to prevent numerical instability and ensure sufficient accuracy, it is shown that in real stability studies, numerical phenomena c… Show more

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Cited by 9 publications
(2 citation statements)
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“…Most commercial power system simulators use explicit numerical methods because they are easier to implement. PowerWorld, for instance, uses second-order Runge-Kutta [26], whereas PSS/E and PSLF use second-order Adams-Bashforth [27]. Implicit methods are numerically more stable and better suited to stiff systems than explicit methods, but this comes at the cost of solving nonlinear equations at each step, resulting in higher computational time.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…Most commercial power system simulators use explicit numerical methods because they are easier to implement. PowerWorld, for instance, uses second-order Runge-Kutta [26], whereas PSS/E and PSLF use second-order Adams-Bashforth [27]. Implicit methods are numerically more stable and better suited to stiff systems than explicit methods, but this comes at the cost of solving nonlinear equations at each step, resulting in higher computational time.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…The integrator employed by PSLF and PSS/E, the second order Adams-Bashforth method (AB-2), has a region of stability that is a subset of the left half of the complex plane. This means that the currently employed numerical integration schemes have the potential to exhibit numerical instability for stable systems [5].…”
Section: Introductionmentioning
confidence: 99%