Computationally Efficient Partitioned Modeling of Inverter Dynamics with Grid Support Functions

• Published in: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society pp. 1 - 6
• Main Authors: Subedi, Sunil, Guruwacharya, Nischal, Fourney, Robert, Rekabdarkolaee, Hossein Moradi, Tonkoski, Reinaldo, Hansen, Timothy M., Tamrakar, Ujjwol, Cicilio, Phylicia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13.10.2021
• Subjects: Computational efficiency; Computational modeling; Data-driven modeling; grid support functions; IEEE standard 1547-2018; Inverters; Mathematical models; partitioned dynamic modeling; Power system dynamics; simulation speedup; Switches; Voltage; voltage support
• ISSN: 2577-1647
• DOI: 10.1109/IECON48115.2021.9589066

With the advancement in power electronics technology and grid standards, traditional converters are being supplemented with the new IEEE 1547-2018 standard based grid support functions (GSFs) to support power system voltage and frequency. Inverter dynamics in power systems vary with different modes of operation, thus new modeling methods for proper system planning, operation, and dispatch are required. This work presents a data-driven approach for partitioned dynamic modeling of inverters to speed up simulation time and reduce computational complexity while ensuring acceptable accuracy. The proposed method was tested for a smart inverter with voltage support (Volt-VAr function) on a two-bus system considering dynamic residential loads, and the results showed a four-time speedup in simulation time compared to the use of the detailed model with acceptable levels of accuracy.