Abhishek JainAranya ChakraborttyEmrah BiyikChakrabortty, AranyaBiyik, EmrahJain, Abhishek2025-10-062018096706610967-06611873-693910.1016/j.conengprac.2018.03.0032-s2.0-85043500472https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043500472&doi=10.1016%2Fj.conengprac.2018.03.003&partnerID=40&md5=c603a90a5416cd14bc9c8135de21af18https://gcris.yasar.edu.tr/handle/123456789/9564https://doi.org/10.1016/j.conengprac.2018.03.003In 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 sparsification 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. © 2018 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/openAccessDistributed Control, Oscillation Damping, Participation Factors, Predictive Optimization, Wide-area Control, Circuit Oscillations, Controllers, Damping, Distributed Parameter Control Systems, Electric Power System Control, Model Predictive Control, Topology, Communication Constraints, Communication Topologies, Distributed Control, Distributed Model Predictive Control, Northeast Power Coordinating Councils, Oscillation Damping, Participation Factors, Wide Area Control, Power ControlCircuit oscillations, Controllers, Damping, Distributed parameter control systems, Electric power system control, Model predictive control, Topology, Communication constraints, Communication topologies, Distributed control, Distributed Model predictive Control, Northeast power coordinating councils, Oscillation damping, Participation factors, Wide area control, Power controlParticipation FactorsWide-Area ControlPredictive OptimizationDistributed ControlOscillation DampingArticle