Schmitz, PhilippPhilippSchmitzEngelmann, AlexanderAlexanderEngelmannFaulwasser, TimmTimmFaulwasserWorthmann, KarlKarlWorthmann2024-02-292024-02-292022IFAC-PapersOnLine 55 (30): 359-364 (2022)https://hdl.handle.net/11420/46093Recently, data-driven predictive control of linear systems has received wide-spread research attention. It hinges on the fundamental lemma by Willems et al. In a previous paper, we have shown how this framework can be applied to predictive control of linear time-invariant descriptor systems. In the present paper, we present a case study wherein we apply data-driven predictive control to a discrete-time descriptor model obtained by discretization of the power-swing equations for a nine-bus system. Our results show the efficacy of the proposed control scheme and they underpin the prospect of the data-driven framework for control of descriptor systems.en2405-8963202230359364ElsevierData-driven controldescriptor systemsMPCoptimal controlpower-swing equationspower systemsWillems' fundamental lemmaComputer SciencesNatural Resources, Energy and EnvironmentConference Paper10.1016/j.ifacol.2022.11.079Conference Paper