A New Algorithm for Predicting Out-of-step Using Rotor Speed-acceleration Based on Phasor Measurement Units (PMU) Data

Intelligent prediction of out-of-step condition on synchronous generators because of transient instability crisis

“…In Li et al, the technique of the DT is utilised for designing a transient instability predictor based on the apparent impedance evaluated from phasor measurement unit (PMU) data. 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.…”

“…It is seen that generally the algorithms for recognizing OOS condition can be categorized into 2 groups: detection algorithms [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] and prediction algorithms. [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] In Table 1, it is concluded that a number of conventional methods including an adaptive OOS relay, based on the classical equal area criterion using power angle (P-δ), are proposed in which the newly developed technology of synchronized phasor measurements plays an important role. 2 In Taylor et al, 3 the property of the rate of change of apparent impedance is used for proposing an OOS relaying scheme.…”

“…Many techniques can be found in literature, and Table shows a brief review of the related researches. It is seen that generally the algorithms for recognizing OOS condition can be categorized into 2 groups: detection algorithms and prediction algorithms …”

Out‐of‐step protection of synchronous generators based on a digital phase comparison in the time domain

“…Some authors propose the algorithms which apart from the current and voltage measurements require some other generator measurement values such as the air‐gap flux, the rotor angular velocity and so on. Sobbouhi et al [22] presents a method based on the rotor angular velocity measurement by means of the sensors attached directly to the rotor. A method shown in [23] detects the out‐of‐step based on the generator air‐gap flux measurement.…”

Wide‐area measurement system‐based model‐free approach of post‐fault rotor angle trajectory prediction for on‐line transient instability detection

“…Model-based methods employing the power system model are difficult for real-time transient stability analysis due to computation cost which depends on the size of power system. Model-free methods mainly include the artificial intelligence approach [6,7] and curve fitting and extrapolation method [8][9][10][11][12][13][14][15]. Although the artificial intelligence approach combines off-line learning and online monitoring reasonably and its real-time computation cost is lower, it is difficulty to acquire sampling spaces in off-line learning, due to the large amount of the samples required.…”