Power grid transient stabilization using Koopman model predictive control⁎. Issue 28 (2018)

• Record Type: Journal Article
• Authors: Korda, Milan; Susuki, Yoshihiko; Mezić, Igor
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 28(2018)
• Page Start: 297
• Page End: 302
• Publication Date: 2018
• Subjects: Power grid -- Transient stability -- Koopman operator -- Model predictive control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.11.718
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This work addresses the problem of transient stabilization of a power grid, following a destabilizing disturbance. The model considered is the cascade interconnection of seven New England test models with the disturbance (e.g., a powerline failure) occurring in the first grid and propagating forward, emulating a wide-area blackout. We consider a data-driven control framework based on the Koopman operator theory, where a linear predictor, evolving on a higher dimensional (embedded) state-space, is built from observed data and subsequently used within a model predictive control (MPC) framework, allowing for the use of efficient computational tools of linear MPC to control this highly nonlinear dynamical system.