TY - GEN
T1 - Computationally Efficient Partitioned Modeling of Inverter Dynamics with Grid Support Functions
AU - Subedi, Sunil
AU - Guruwacharya, Nischal
AU - Fourney, Robert
AU - Rekabdarkolaee, Hossein Moradi
AU - Tonkoski, Reinaldo
AU - Hansen, Timothy M.
AU - Tamrakar, Ujjwol
AU - Cicilio, Phylicia
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/13
Y1 - 2021/10/13
N2 - 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.
AB - 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.
KW - Data-driven modeling
KW - IEEE standard 1547-2018
KW - grid support functions
KW - partitioned dynamic modeling
KW - simulation speedup
KW - voltage support
UR - https://www.scopus.com/pages/publications/85119511600
U2 - 10.1109/IECON48115.2021.9589066
DO - 10.1109/IECON48115.2021.9589066
M3 - Conference contribution
AN - SCOPUS:85119511600
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Computer Society
T2 - 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Y2 - 13 October 2021 through 16 October 2021
ER -