Published December 13, 2023 | Version v1

An Optimization-based Method for Transient Stability Assessment

Description

The paper proposes an optimization-based method for the transient stability assessment of lossy multi-machine power systems. To achieve this objective, a global control Lyapunov function candidate including an auxiliary state is introduced. On this basis, a new excitation control law is proposed. This control law is well-defined provided that an ‘index’ matrix remains non-singular along the closed-loop trajectories. Such a matrix plays a key role in the formulation of an optimization problem, which allows calculating the so-called critical value associated to the introduced Lyapunov function. This permits a direct assessment of transient stability property of the considered post-fault power system. To illustrate the effectiveness of such an optimization-based method, a case study on the model of a three-machine system is presented.

Notes

2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. Gao, B. Chaudhuri and A. Astolfi, "An Optimization-Based Method for Transient Stability Assessment," 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 4586-4591, doi: 10.1109/CDC49753.2023.10383550.

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Funding

European Commission
KIOS CoE - KIOS Research and Innovation Centre of Excellence 739551