Year: 2019
Type: conference-paper
Abstract: In this paper, we provide a time-series distribution test system. This test system is a fully observable distribution grid in Midwest U.S. with smart meters (SM) installed at all end users. Our goal is to share a real U.S. distribution grid model without modification. This grid model is comprehensive and representative since it consists of both overhead lines and underground cables, and it has standard distribution grid components such as capacitor banks, line switches, substation transformers with load tap changer and secondary distribution transformers. An important uniqueness of this grid model is it has one-year smart meter measurements at all nodes, thus bridging the gap between existing test feeders and quasi-static time-series based distribution system analysis.
Authors: Fankun Bu, Yuxuan Yuan, Zhaoyu Wang, Kaveh Dehghanpour, Anne Kimber
Institution: Iowa State University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: AWARD NUMBER DE-OE0000875 FOR PROJECT ENTITLED, “ROBUST REAL-TIME MODELING OF DISTRIBUTION SYSTEMS WITH DATA-DRIVEN GRID-WISE OBSERVABILITY.”, EAGER: SSDIM: Simulated and Synthetic Data Generation for Interdependent Natural Gas and Electrical Power Systems Based on Graph Theory and Machine Learning, G822512259
OpenAlex ID: W2948974171