DECOUPLED STABILITY ANALYSIS OF LARGE SCALE POWER SYSTEMS USING INTEGRAL MANIFOLD APPROACH.

M. A. Pai, P. W. Sauer, H. Othman, J. H. Chow, J. R. Winkelman

Research output: Contribution to journalConference article

Abstract

Large-scale power systems can be decomposed into areas each consisting of tightly coupled machines connected to other areas through weak connections. This kind of decomposition preserves the network structure and offers possibilities in developing reduced-order models and simplified direct stability analysis. Time-scale separation is inherent in this decomposition. The authors investigate the use of slow and fast energy functions for the stability analysis of two-time-scale systems. They show rigorously the existence of a slow manifold and use this manifold for calculating slow energy in the system to any desired degree of accuracy. When the mode of instability is between areas (i. e. , slow) it is shown that the slow energy accurately predicts the critical clearing time.

Original languageEnglish (US)
Pages (from-to)1388-1393
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - Dec 1 1986

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Integral Manifolds
Large-scale Systems
Power System
Stability Analysis
Time Scales
Slow Manifold
Decomposition
Decompose
Reduced Order Model
Energy
Energy Function
Network Structure
Predict

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

DECOUPLED STABILITY ANALYSIS OF LARGE SCALE POWER SYSTEMS USING INTEGRAL MANIFOLD APPROACH. / Pai, M. A.; Sauer, P. W.; Othman, H.; Chow, J. H.; Winkelman, J. R.

In: Proceedings of the IEEE Conference on Decision and Control, 01.12.1986, p. 1388-1393.

Research output: Contribution to journalConference article

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