A set‐theoretic model predictive control approach for transient stability in smart grid
| Autor: | Walter Lucia, Maryam Bagherzadeh |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Control and Optimization Computer science Computation Perturbation (astronomy) 02 engineering and technology Computer Science Applications Nonlinear programming Human-Computer Interaction Model predictive control 020901 industrial engineering & automation Smart grid Electronic stability control Control and Systems Engineering Control theory Convex optimization A priori and a posteriori Electrical and Electronic Engineering |
| Zdroj: | IET Control Theory & Applications. 14:700-707 |
| ISSN: | 1751-8652 |
| DOI: | 10.1049/iet-cta.2019.0689 |
| Popis: | In this study, the authors deal with the transient stability control problem in smart grids. They consider an operative scenario where a physical fault or a cyber-attack produces an impulsive perturbation in the state of the system, and a controller must be designed to robustly recover, in a finite-time, transient stability despite initial perturbation and uncertainties. The authors propose a solution that is based on a low-demanding model predictive control (MPC) idea that is known as set-theoretic MPC. They show that such a controller can be used as an emergency controller to deal with the considered scenario. A peculiar capability of the proposed solution is that the worst-case time to transient stability can be apriori established. Moreover, most of the required computations are moved into an off-line phase leaving into the on-line phase a simple and computationally affordable convex optimisation problem. Finally, the authors have conducted an extensive simulation campaign to testify the validity of the proposed solution experimentally and to investigate its performance when contrasted with a competitor scheme. |
| Databáze: | OpenAIRE |
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