@article{5d5b2028331d448987f9228d984879f0,
title = "Lyapunov stability of smart inverters using linearized distflow approximation",
abstract = "Fast-acting smart inverters that utilize preset operating conditions to determine real and reactive power injection/consumption can create voltage instabilities (over-voltage, voltage oscillations and more) in an electrical distribution network if set-points are not properly configured. In this work, linear distribution power flow equations and droop-based Volt–Var and Volt–Watt control curves are used to analytically derive a stability criterion using Lyapunov analysis that includes the network operating condition. The methodology is generally applicable for control curves that can be represented as Lipschitz functions. The derived Lipschitz constants account for smart inverter hardware limitations for reactive power generation. A local policy is derived from the stability criterion that allows inverters to adapt their control curves by monitoring only local voltage, thus avoiding centralized control or information sharing with other inverters. The criterion is independent of the internal time-delays of smart inverters. Simulation results for inverters with and without the proposed stabilization technique demonstrate how smart inverters can mitigate voltage oscillations locally and mitigate real and reactive power flow disturbances at the substation under multiple scenarios. The study concludes with illustrations of how the control policy can dampen oscillations caused by solar intermittency and cyberattacks.",
author = "Saha, {Shammya Shananda} and Daniel Arnold and Anna Scaglione and Eran Schweitzer and Ciaran Roberts and Sean Peisert and Johnson, {Nathan G.}",
note = "Funding Information: Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems program of the U.S. Department of Energy via the Cybersecurity via Inverter‐Grid Automatic Reconfiguration (CIGAR) project under contract DE‐AC02‐05CH11231, the United States Office of Naval Research under the Defense University Research‐to‐Adoption (DURA) Initiative with Award Number N00014‐18‐1‐2393, and 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 Number EEC‐1041895. Funding information i i i j i j i i j i i i i i i i Funding Information: information Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems program of the U.S. Department of Energy via the Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR) project under contract DE-AC02-05CH11231, the United States Office of Naval Research under the Defense University Research-to-Adoption (DURA) Initiative with Award Number N00014-18-1-2393, and 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 Number EEC-1041895.This research was supported in part by the Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems program of the U.S. Department of Energy via the Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR) project under contract DE-AC02-05CH11231, the United States Office of Naval Research under the Defense University Research-to-Adoption (DURA) Initiative with Award Number N00014-18-1-2393, and 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 Number 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. Funding Information: This research was supported in part by the Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems program of the U.S. Department of Energy via the Cybersecurity via Inverter‐Grid Automatic Reconfiguration (CIGAR) project under contract DE‐AC02‐05CH11231, the United States Office of Naval Research under the Defense University Research‐to‐Adoption (DURA) Initiative with Award Number N00014‐18‐1‐2393, and 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 Number 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. Publisher Copyright: {\textcopyright} 2020 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology",
year = "2021",
month = jan,
doi = "10.1049/rpg2.12009",
language = "English (US)",
volume = "15",
pages = "114--126",
journal = "IET Renewable Power Generation",
issn = "1752-1416",
publisher = "Institution of Engineering and Technology",
number = "1",
}