Abhishek JainAranya ChakraborttyEmrah Biyik2025-10-0620180967-066110.1016/j.conengprac.2018.03.003http://dx.doi.org/10.1016/j.conengprac.2018.03.003https://gcris.yasar.edu.tr/handle/123456789/6888In this paper a distributed Model Predictive Control design is presented for inter-area oscillation damping in power systems under two critical cyber-physical constraints namely communication constraints that lead to sparsificadon of the underlying communication network and actuation constraints that respect the saturation limits of generator controllers. In the current state-of-art distributed controllers in power systems are executed over fixed communication topologies that are most often agnostic of the magnitude and location of the incoming disturbance signals. This often leads to a sub-optimal closed-loop performance. In contrast the communication topology for the proposed controller is selected in real-time after a disturbance event based on event-specific correlations of the generator states with the dominant oscillation modes that are excited by that event. Since these correlations can differ from one event to another so can the choice of the communication topology. These correlations are used to identify the most important sets of generators that must exchange state information for enhancing closed-loop damping of the inter-area modal frequencies. Effectiveness of this strategy is shown via simulations on the 48-machine 140-bus model for the Northeast Power Coordinating Council.EnglishDistributed control, Wide-area control, Predictive optimization, Oscillation damping, Participation factorsMODEL-PREDICTIVE CONTROL, ROBUST, DESIGNArticle