2015
DOI: 10.1002/etep.2088
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A new algorithm for predicting out-of-step condition in large-scale power systems using rotor speed-acceleration

Abstract: Summary Transient instability is one of the major threats to system security which can cause out‐of‐step condition. Out‐of‐step condition can cause mechanical and thermal damages to generator. Therefore, in the case of out‐of‐step, early detection and disconnection of generator from grid are very essential. In this paper, by using generator rotor speed–acceleration (ω − α) data obtained from PMU measurements, a new algorithm for predicting out‐of‐step condition of the generator in large‐scale power systems is … Show more

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Cited by 11 publications
(7 citation statements)
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“…In another view, it is possible to evaluate OOS status by other generator variables as shown in Figure 3A to D. It is indicated that after a fault, rotor angle starts to increase from its initial point P from which in stable conditions, rotor angle slows down oscillatory to a stable equilibrium point (SEP) while for an unstable fault scenario, the angle increases monotonically until passing through UEP that means an OOS condition has been occurred. FIGURE 1 Two-machine system 34…”
Section: Concept Of Out-of-stepmentioning
confidence: 99%
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“…In another view, it is possible to evaluate OOS status by other generator variables as shown in Figure 3A to D. It is indicated that after a fault, rotor angle starts to increase from its initial point P from which in stable conditions, rotor angle slows down oscillatory to a stable equilibrium point (SEP) while for an unstable fault scenario, the angle increases monotonically until passing through UEP that means an OOS condition has been occurred. FIGURE 1 Two-machine system 34…”
Section: Concept Of Out-of-stepmentioning
confidence: 99%
“…In Sobbouhi and Aghamohammadi, by using rotor speed‐acceleration data obtained from PMU measurements, an algorithm based on the rate of change of speed‐acceleration is proposed for predicting OOS condition of the generator. In Sobbouhi and Aghamohammadi, a prediction algorithm based on the locus of rotor speed‐acceleration variation constructed from data obtained by PMU measurements is proposed and applied to a large‐scale realistic power system. In Alinezhad et al, by calculating postfault Thévenin equivalent from synchronized phasor measurements and based on equal area criterion, an OOS predictive technique is presented from which by calculating the acceleration and deceleration areas corresponding to the fault and postfault conditions, an OOS condition is predicted.…”
Section: Introductionmentioning
confidence: 99%
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“…In Krata et al and So et al, the frequency difference between 2 line ends is used to identify the oscillation center, but corresponding oscillation blocking scheme is not put forward. In Qin et al and Sobbouhi and Aghamohammadi, criteria to identify system out‐of‐step based on WAMS dynamic trajectory and PMU measurements are proposed, but the oscillation center is not located.…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies, comparing the postdisturbance voltage trajectories with predefined voltage templates is used to predict the OOS. In 1 study, a new algorithm for predicting OOS condition in large‐scale power systems using rotor speed‐acceleration is proposed, which analyzes the trend of the movement of the (ω − α) locus curve in the plane for predicting and detecting the OOS. An effective response‐based technique for closed‐loop transient stability emergency control is proposed in the work of Glavic et al, to predict and control the instability of the power system.…”
Section: Introductionmentioning
confidence: 99%