Transmission Interface Limits for High-Spatial Resolution Capacity Expansion Modeling

Research output: NRELPoster

Abstract

Large-scale capacity expansion models typically rely on estimates of the power transfer limits between modeled zones. Accurate estimation of these interface transfer limits (ITLs) requires modeling the underlying transmission network. Here we expand on a maximum flow optimization method that uses linearized power flow to estimate transfer limits. We apply this method to a data set of the U.S. transmission network to estimate ITLs between U.S. counties. By calculating ITLs using different subsets of the network, we evaluate how the size of the network used in the estimation affects the results. The results show diminishing returns to ITL accuracy after six hops, suggesting that a network subset can reasonably be used to approximate ITLs. The county-level estimates produced in this study will support more spatially resolved capacity expansion modeling and will help inform policy making at local and national levels.
Original languageAmerican English
PublisherNational Renewable Energy Laboratory (NREL)
Number of pages1
StatePublished - 2024

Publication series

NamePresented at the 2024 IEEE Power & Energy Society General Meeting, 21-25 July 2024, Seattle, Washington

NREL Publication Number

  • NREL/PO-6A40-90496

Keywords

  • capacity planning
  • optimization
  • power system
  • power transmission

Fingerprint

Dive into the research topics of 'Transmission Interface Limits for High-Spatial Resolution Capacity Expansion Modeling'. Together they form a unique fingerprint.

Cite this