@inproceedings{63f0cca735ad4d07ac3cc4061ee61d08,
title = "Augmenting the optimal power flow for stability",
abstract = "This paper presents an augmented optimal power flow (OPF) formulation that minimizes a power network's transient control costs using a linear quadratic regulator (LQR). The network is described by AC power flows with third-order generator dynamics modeling. Then, linearized dynamics around a known solution of the power flow equations are considered. Leveraging the equivalent linear matrix inequality formulation for the LQR, the augmented OPF (LQR-OPF) amounts to a semidefinite program, yielding optimal network steady state and an explicit feedback gain for minimum transient control cost. Numerical tests on a standard power network demonstrate the advantage of LQR-OPF in comparison to a scheme where OPF and transient control are solved separately.",
keywords = "Optimal power flow, semidefinite programming, transient stability",
author = "Mohammadhafez Bazrafshan and Nikolaos Gatsis and Taha, {Ahmad F.} and Taylor, {Josh A.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 55th IEEE Conference on Decision and Control, CDC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",
year = "2016",
month = dec,
day = "27",
doi = "10.1109/CDC.2016.7798891",
language = "English (US)",
series = "2016 IEEE 55th Conference on Decision and Control, CDC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4104--4109",
booktitle = "2016 IEEE 55th Conference on Decision and Control, CDC 2016",
address = "United States",
}