TY - GEN
T1 - Development of an aggregation tool for PV inverter response to frequency disturbances across a distribution feeder
AU - Ndirangu, Kioni
AU - Callegaro, Leonardo
AU - Fletcher, John E.
AU - Konstantinou, Georgios
PY - 2020
Y1 - 2020
N2 - The rapid increase in distributed generation (DG), especially commercial and household solar PV systems in distribution networks necessitates the development of tools that provide greater insights in the behaviour of large numbers of DGs. Simulation models do not accurately capture the response of DGs to grid disturbances, and analysis of a single inverter is not representative of the behaviour of other inverters. This paper presents the development and preliminary use of an aggregation tool that allows modeling of DG response to frequency disturbances based on experimental data across a distribution feeder. By altering different renewable energy (RE) penetration levels and/or composition of inverter models in a feeder the tool can model and observe a diverse range of responses to the same grid disturbance. The tool provides preliminary insight into whether a broader simplified model of DGs is possible in distribution networks and can assist network operators with managing systems with high renewable energy penetration.
AB - The rapid increase in distributed generation (DG), especially commercial and household solar PV systems in distribution networks necessitates the development of tools that provide greater insights in the behaviour of large numbers of DGs. Simulation models do not accurately capture the response of DGs to grid disturbances, and analysis of a single inverter is not representative of the behaviour of other inverters. This paper presents the development and preliminary use of an aggregation tool that allows modeling of DG response to frequency disturbances based on experimental data across a distribution feeder. By altering different renewable energy (RE) penetration levels and/or composition of inverter models in a feeder the tool can model and observe a diverse range of responses to the same grid disturbance. The tool provides preliminary insight into whether a broader simplified model of DGs is possible in distribution networks and can assist network operators with managing systems with high renewable energy penetration.
UR - http://www.scopus.com/inward/record.url?scp=85097733528&partnerID=8YFLogxK
U2 - 10.1109/IECON43393.2020.9255331
DO - 10.1109/IECON43393.2020.9255331
M3 - Conference proceeding contribution
AN - SCOPUS:85097733528
SN - 9781728154152
SP - 4037
EP - 4042
BT - Proceedings IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -