An optimization-based method for transient stability assessment
File(s)
Author(s)
Gao, Jianli
Chaudhuri, Balarko
Astolfi, Alessandro
Type
Conference Paper
Abstract
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.
Date Issued
2024-01-19
Date Acceptance
2023-12-13
Citation
2023 62nd IEEE Conference on Decision and Control (CDC), 2024
ISBN
979-8-3503-0124-3
ISSN
2576-2370
Publisher
IEEE
Journal / Book Title
2023 62nd IEEE Conference on Decision and Control (CDC)
Copyright Statement
Copyright © 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.
Identifier
http://dx.doi.org/10.1109/cdc49753.2023.10383550
Source
IEEE Conference on Decision and Control
Publication Status
Published
Start Date
2023-12-13
Finish Date
2023-12-15
Coverage Spatial
Singapore, Singapore
Date Publish Online
2023-12-15