Print Email Facebook Twitter Exploring Stability and Accuracy Limits of Distributed Real-Time Power System Simulations via System-of-Systems Cosimulation Title Exploring Stability and Accuracy Limits of Distributed Real-Time Power System Simulations via System-of-Systems Cosimulation Author Barbierato, Luca (Politecnico di Torino) Pons, Enrico (Politecnico di Torino) Bompard, Ettore Francesco (Politecnico di Torino) Subramaniam Rajkumar, Vetrivel (TU Delft Intelligent Electrical Power Grids) Palensky, P. (TU Delft Electrical Sustainable Energy) Bottaccioli, Lorenzo (Politecnico di Torino) Patti, Edoardo (Politecnico di Torino) Department Electrical Sustainable Energy Date 2023 Abstract Electromagnetic transients (EMT) is the most accurate, but computationally expensive method of analyzing power system phenomena. Thereby, interconnecting several real-time simulators can unlock scalability and system coverage, but leads to a number of new challenges, mainly in time synchronization, numerical stability, and accuracy quantification. This study presents such a cosimulation, based on digital real-time simulators (DRTS), connected via Aurora 8B/10B protocol. Such a setup allows to analyze complex and hybrid system-of-systems whose resulting numerical phenomena and artifacts have been poorly investigated and understood so far. We experimentally investigate the impact of IEEE 1588 precision time protocol synchronization assessing both time and frequency domains. The analysis of the experimental results is encouraging and show that numerical stability can be maintained even with complex system setups. Growing shares of inverter-based renewable power generation require larger and interconnected EMT system studies. This work helps to understand the phenomena connected to such DRTS advanced cosimulation setups. Subject Cosimulationdigital real-time simulators (DRTSs)numerical stabilitypower system assessmentssystem-of-systems (SoS) To reference this document use: http://resolver.tudelft.nl/uuid:adf37e38-675b-4208-ae78-7b675978d6c3 DOI https://doi.org/10.1109/JSYST.2022.3230092 ISSN 1937-9234 Source IEEE Systems Journal, 17 (2), 3354-3365 Part of collection Institutional Repository Document type journal article Rights © 2023 Luca Barbierato, Enrico Pons, Ettore Francesco Bompard, Vetrivel Subramaniam Rajkumar, P. Palensky, Lorenzo Bottaccioli, Edoardo Patti Files PDF Exploring_Stability_and_A ... ion_1_.pdf 2.33 MB Close viewer /islandora/object/uuid:adf37e38-675b-4208-ae78-7b675978d6c3/datastream/OBJ/view