Integrated modeling and simulation of control and communication system in smart grid using CSMO (Co-simulation of MATLAB and OMNeT++)

Smart Grid (SG) infrastructure is essential to future society, with communication-based devices playing a pivotal role. Integrated Modeling and Simulation (IMS) of cyber-physical systems (CPS) for power and communication networks is crucial before large-scale implementation. Co-simulation, which involves parallel simulation of power and communication layers, is a powerful approach to IMS, enabling evaluation of controller performance, power system stability, and cyber-attack resilience. This paper presents a state-of-the-art co-simulation of MATLAB and OMNeT++ (CSMO) framework for IMS of SG control and communication systems. Three distinct case studies validate the framework. The first case study assesses communication effects on power generation in a remotely located power plant for automatic generation control. The second case study examines voltage stability through a peer-to-peer communication-based protection system. The third case study evaluates microgrid resilience across five different communication network scenarios. These studies highlight the critical role of IMS in selecting robust communication networks for reliable SG operation. The diverse case studies demonstrate that the CSMO framework effectively optimizes SG control and communication systems for enhanced performance and reliability.