@article{eb31df9e541c4aa7983e2087012f384c,
title = "Lossy DistFlow Formulation for Single and Multiphase Radial Feeders",
abstract = "A line loss approximation via parametrization is developed to improve performance of the simplified Baran and Wu DistFlow method, while maintaining a linear set of equations. The approach is evaluated on thousands of training feeders that are created to determine a numerically optimal setting for the parameterization. Feeders are generated using recent advances in synthetic network test case generation. The problem is formulated with the same structure as the simplified DistFlow, yet is more accurate given that line losses are explicitly expressed and quantified. The single-phase methodology is extended to multiphase systems by formulating matrix-vector equations that maintain an analogy to their single-phase counterpart. Results with approximated line losses are shown to also improve the accuracy of multiphase distribution system calculations.",
keywords = "distribution system, loss approximation, power flow analysis, radial feeders, synthetic test cases",
author = "Eran Schweitzer and Shammya Saha and Anna Scaglione and Johnson, {Nathan G.} and Daniel Arnold",
note = "Funding Information: Manuscript received November 16, 2018; revised April 21, 2019 and August 6, 2019; accepted November 4, 2019. Date of publication November 20, 2019; date of current version April 22, 2020. This work was supported in part by the Office of Naval Research under Award Number N00014-18-1-2393, in part by the Department of Energy under the Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR) project, and in part by the Engineering Research Center Program of the National Science Foundation and the Office of Energy Efficiency and Renewable Energy of the Department of Energy under NSF Cooperative Agreement under Grant EEC-1041895. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the Office of Naval Research, National Science Foundation or Department of Energy. Paper no. TPWRS-01749-2018. (Corresponding author: Eran Schweitzer.) E. Schweitzer, S. Saha, and A. Scaglione are with the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: eran.schweitzer@asu.edu; shammya.saha@asu.edu; anna.scaglione@asu.edu). Publisher Copyright: {\textcopyright} 1969-2012 IEEE.",
year = "2020",
month = may,
doi = "10.1109/TPWRS.2019.2954453",
language = "English (US)",
volume = "35",
pages = "1758--1768",
journal = "IEEE Transactions on Power Systems",
issn = "0885-8950",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",
}