Voltage stability analysis using static and dynamic approaches

Abstract

This paper discusses voltage stability analysis of power systems using static and dynamic techniques. Using a small test system, results of time domain simul0tion.s are presented to clarify the phenomenon of voltage instability and to better understand modelling requirements. The same system is then analyzed using a static approach in which modal analysis i s performed wing system conditions, or snapshots, which approximate different stages along the time domain trajectory. The results obtained using the dynamic and static methodr are compared and shown to be consistent.

Detecting with PMUs the onset of voltage instability caused by a large disturbance

“…Coupling between time simulation and eigenvalue analysis of Jacobians have been proposed more than a decade ago, either to validate eigenvalue analysis derived from power flow equations [18] or to identify the most effective control actions in a post-contingency voltage unstable scenario [19]. More recently sensitivity techniques were revisited and extended in [20].…”

Optimal allocation of shunt dynamic Var source SVC and STATCOM: a survey

“…In [34], the results for voltage stability analysis from the dynamic analysis using time domain simulations and the static analysis using modal analysis are compared, which are shown to be consistent in indicating system voltage stability.…”

Voltage Stability Analysis of Muscat Power System During Summer Weather Conditions

“…Many techniques have been proposed in the literature for evaluating and predicting voltage stability. Among these techniques are P-V curves (Pal, 1992;Suzuki et al, 1992), Q-V curves (D'Aquila et al, 1993;Schluter, 1998;Taylor, 1994), modal analysis (Gao et al, 1992;Morrison et al, 1993;Mansour et al, 1994), minimum singular value (Löf et al, 1993;Liu et al, 1998), sensitivity analysis (Begovic and Phadke, 1992;Fltabo and Dommel 1990), energy function (Overbye and DeMacro, 1995;DeMacro and Overby, 1990), reactive power optimization (Tamura et al, 1982), artificial neural networks (Jesasuray, 1990;El-Keib and Ma, 1995) and neuro-fuzzy networks (Liu and Su, 1998). Large numbers of research papers on power systems voltage stability have been published recently by the IEEE Voltage Stability Working Group (Ajjarapu and Lee, 1998).…”