2016
DOI: 10.1109/tpwrs.2015.2425885
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Lyapunov Functions Family Approach to Transient Stability Assessment

Abstract: Analysis of transient stability of strongly nonlinear post-fault dynamics is one of the most computationally challenging parts of Dynamic Security Assessment. This paper proposes a novel approach for assessment of transient stability of the system. The approach generalizes the idea of energy methods, and extends the concept of energy function to a more general Lyapunov Functions Family (LFF) constructed via Semi-Definite-Programming techniques. Unlike the traditional energy function and its variations, the con… Show more

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Cited by 204 publications
(137 citation statements)
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“…As such, the Lyapunov function V (x) is decaying inside the polytope Q. The other results immediately follow those in [9].…”
Section: A Proof Of the Transient Stability Certificatesupporting
confidence: 77%
See 3 more Smart Citations
“…As such, the Lyapunov function V (x) is decaying inside the polytope Q. The other results immediately follow those in [9].…”
Section: A Proof Of the Transient Stability Certificatesupporting
confidence: 77%
“…In this section, we show that the Lyapunov function family approach [9], originally presented for the Kron-reduction model, is applicable to the transient stability analysis of structure-preserving power models. Then, we extend this family to a set of convex Lyapunov functions family, that will be instrumental to establish a lower bound of critical clearing time in the next section.…”
Section: Lyapunov Function Family Approach For Transient Stabilitymentioning
confidence: 99%
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“…Since the advancement of wide-area measurement system (WAMS) based on synchronized phasor measurements has made it possible to gain real-time information of transient stability status in power systems [2], power system transient stability assessment and emergency control have received renewed interests [3][4][5]. However, online transient rotor angle stability assessment is confronted with some serious challenges due to the increasing scale and more complex dynamics of power systems.…”
Section: Introductionmentioning
confidence: 99%