1995
DOI: 10.1109/59.466481
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Stabilizing control, system preventing loss of synchronism from extension and its actual operating experience

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Cited by 32 publications
(5 citation statements)
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“…Some papers proposed the hydraulic system modeling method and further investigation of the interactions between power system oscillation and the dynamic characteristics of the hydraulic mechanical system (De Jaeger et al, 1994), (Machowski et al, 1999). A study conducted in Demello et al (1992) proposed a scheme for improving transitional stability of the system by using a method of coordination between fast valving and generator excitation setting (Matsuzawa et al, 1995). Research in proposed a fast valving method by using a parallel valve system to improve system stability.…”
Section: Stability Improvementmentioning
confidence: 99%
“…Some papers proposed the hydraulic system modeling method and further investigation of the interactions between power system oscillation and the dynamic characteristics of the hydraulic mechanical system (De Jaeger et al, 1994), (Machowski et al, 1999). A study conducted in Demello et al (1992) proposed a scheme for improving transitional stability of the system by using a method of coordination between fast valving and generator excitation setting (Matsuzawa et al, 1995). Research in proposed a fast valving method by using a parallel valve system to improve system stability.…”
Section: Stability Improvementmentioning
confidence: 99%
“…As a result, the predicted relative rotor angles of other generators with respect to the reference generator can be obtained by subtracting the absolute rotor angle of reference generator from other absolute rotor angles. If the change of predicted relative rotor angle is greater than 180 , the system is expected to be unstable in the future.The polynomial function expansion method uses the first several terms in the Taylor series expansion to predict absolute rotor angles at future times [3]. The problem of this method arises when the number of known values is much greater than the required one for prediction.…”
Section: A Rotor Angle Predictions After Fault Clearingmentioning
confidence: 99%
“…The stabilizing control system implemented in Tokyo Electric Power Company (TEPCO) predicts generator angle changes to foresee the loss of synchronism. When instability is predicted, the minimum number of generators to trip is decided by estimating the generator angle for various tripping amounts [3]. The common point of the two systems proposed before is that the systems are designed for a single power station and the tripping decision is made from the local point of view.…”
Section: Introductionmentioning
confidence: 99%
“…It was found in [4] that loss of synchronism depends on relative rotor angles of generators. The prediction of relative rotor angles helps in determining the number of generators to be out of synchronism and accordingly needed control to regain system stability [4].…”
Section: Prediction Agentmentioning
confidence: 98%