Building validated distribution grid models

Presenter's Name(s)

Alby Penney

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

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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.