Building validated distribution grid models
Abstract
Widespread electrification and localized power generation are placing increasing demands on the electric distribution grid. To maximize the utility of the existing network, distribution system operators are implementing real-time solutions such as dynamic hosting capacity and DER coordination. These algorithms, however, require real-time validated network models. This research proposes and implements a pipeline to build validated distribution network models through three stages: (1) Ingest GIS data, measurement data, and a baseline network model, (2) Identify problematic network parameters from measurement residuals, (3) Estimate new values for problematic parameters that better match measurements.
Primary Faculty Mentor Name
Mads Almassalkhi
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Electrical Engineering
Primary Research Category
Engineering and Math Science
Building validated distribution grid models
Widespread electrification and localized power generation are placing increasing demands on the electric distribution grid. To maximize the utility of the existing network, distribution system operators are implementing real-time solutions such as dynamic hosting capacity and DER coordination. These algorithms, however, require real-time validated network models. This research proposes and implements a pipeline to build validated distribution network models through three stages: (1) Ingest GIS data, measurement data, and a baseline network model, (2) Identify problematic network parameters from measurement residuals, (3) Estimate new values for problematic parameters that better match measurements.