Design of Data Distributed Service-Based Distributed Co-Simulation Platform of Power Systems

The recent advancements in distributed renewable energy resources pose challenges for dynamic simulations of comprehensive power system models. This paper introduces a distributed co-simulation framework aimed at enhancing the scalability and accelerating the simulation process of large-scale power systems. Initially, a distributed and decoupled model for a large-scale integrated power system is derived by decomposing the entire power system model into interconnected sub-systems. Subsequently, a model interface is developed to facilitate communication among numerous components, such as generators, loads, and the power network. To enable data exchange among components and different subsystems, the data distribution service (DDS) is adopted. Lastly, a DDS-based distributed co-simulation platform is proposed, allowing synchronous simulations of sub-systems within the Matlab/Simulink environment. Meanwhile, the instantaneous relaxation algorithm is adopted to further improve the accuracy of the parallel computation among each sub-system. To demonstrate the effectiveness of the proposed co-simulation platform, implementation and verification on typical IEEE benchmark systems are performed to demonstrate both accuracy and scalability of the proposed DDS-based co-simulation platform. IEEE