TY - GEN
T1 - Hybrid European MV-LV Network Models for Smart Distribution Network Modelling
AU - Deakin, Matthew
AU - Greenwood, David
AU - Walker, Sara
AU - Taylor, Phil C.
PY - 2021/7/29
Y1 - 2021/7/29
N2 - A pair of European-style, integrated MV-LV circuits are presented, created by combining generic MV and real LV networks. The two models have 86, 000 and 113, 000 nodes, and are made readily available for download in the OpenDSS file format. Primary substation tap change controls and MV-LV feeders are represented as three-phase unbalanced distribution network models, capturing the coupling of voltages at the MV level. The assumptions made in constructing the models are outlined, including a preconditioning step that reduces the number of nodes by more than five times without affecting the solution. Two flexibility-based case studies are presented, with TSO-DSO and peer-to-peer-based smart controls considered. The demonstration of the heterogeneous nature of these systems is corroborated by the analysis of measured LV voltage data. The models are intended to aid the development of algorithms for maximising the benefits of smart devices within the context of whole energy systems.
AB - A pair of European-style, integrated MV-LV circuits are presented, created by combining generic MV and real LV networks. The two models have 86, 000 and 113, 000 nodes, and are made readily available for download in the OpenDSS file format. Primary substation tap change controls and MV-LV feeders are represented as three-phase unbalanced distribution network models, capturing the coupling of voltages at the MV level. The assumptions made in constructing the models are outlined, including a preconditioning step that reduces the number of nodes by more than five times without affecting the solution. Two flexibility-based case studies are presented, with TSO-DSO and peer-to-peer-based smart controls considered. The demonstration of the heterogeneous nature of these systems is corroborated by the analysis of measured LV voltage data. The models are intended to aid the development of algorithms for maximising the benefits of smart devices within the context of whole energy systems.
KW - distribution network analysis
KW - flexibility services
KW - TSO-DSO
KW - Unbalanced distribution network modelling
U2 - 10.1109/PowerTech46648.2021.9494860
DO - 10.1109/PowerTech46648.2021.9494860
M3 - Chapter in a published conference proceeding
T3 - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
BT - 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
PB - IEEE
CY - United States
T2 - 2021 IEEE Madrid PowerTech,
Y2 - 28 June 2021 through 2 July 2021
ER -