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Adam B. Birchfield
Researcher at Texas A&M University
Publications - 48
Citations - 1389
Adam B. Birchfield is an academic researcher from Texas A&M University. The author has contributed to research in topics: Grid & Electric power system. The author has an hindex of 11, co-authored 37 publications receiving 841 citations. Previous affiliations of Adam B. Birchfield include University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Grid Structural Characteristics as Validation Criteria for Synthetic Networks
TL;DR: In this paper, the authors present a methodology and set of validation criteria for the systematic creation of synthetic power system test cases, which do not correspond to any real grid and are free from confidentiality requirements.
Posted Content
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Sogol Babaeinejadsarookolaee,Adam B. Birchfield,Richard D. Christie,Carleton Coffrin,Christopher L. DeMarco,Ruisheng Diao,Michael C. Ferris,Stephane Fliscounakis,Scott Greene,Renke Huang,Cédric Josz,R. Korab,Bernard C. Lesieutre,Jean Maeght,Daniel K. Molzahn,Thomas J. Overbye,Patrick Panciatici,Byungkwon Park,Jonathan Snodgrass,Ray D. Zimmerman +19 more
TL;DR: This IEEE PES Task Force report proposes a standardized AC-OPF mathematical formulation and the PGLib-OPf networks for benchmarking AC-opF algorithms and a motivating study demonstrates some limitations of the established network datasets in the context of benchmarking ASF algorithms.
Journal ArticleDOI
Statistical Considerations in the Creation of Realistic Synthetic Power Grids for Geomagnetic Disturbance Studies
TL;DR: A method to generate completely synthetic transmission system networks suitable for GMD studies is outlined, and the Delaunay triangulation is applied to transmission network synthesis, showing it provides an excellent starting place for generating realistic topologies.
Proceedings ArticleDOI
A methodology for the creation of geographically realistic synthetic power flow models
TL;DR: In this article, the authors propose to create entirely fictitious synthetic power system networks that capture the functionality, topology and defining characteristics of the actual U.S. transmission system, and thus provide realistic test cases for research, without revealing any sensitive information.
Journal ArticleDOI
Modeling, Tuning, and Validating System Dynamics in Synthetic Electric Grids
TL;DR: This paper aims to extend synthetic network base cases for transient stability studies by proposing an automated algorithm to assign appropriate models and parameters to each synthetic generator, according to fuel type, generation capacity, and statistics summarized from actual system cases.