@inproceedings{9b76f2ae94e544a2b9450b6bf030da99,
title = "Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach",
abstract = "This paper presents a distributed optimal power flow approach based on Augmented Lagrangian (AL) and Sequential Quadratic Programming (SQP). It is able to separate the OPF into smaller sub-problems, which could be iteratively solved individually using the SQP. This utilizes the SQP for largescale problems with non-linear objective functions and constraints. Simulation and comparison using the IEEE 30 and 118 buses examples show that the proposed distributed approach is able to achieve comparable performance with other benchmark centralized solvers provided by the FMINCON in MATPOWER. This suggests the proposed approach may serve an attractive alternative to other OPF algorithms.",
keywords = "Augmented Lagrangian, Distributed, Optimal Power Flow, Sequential Quadratic Programming",
author = "Zejiang Hou and Wu, {Ho Chun} and Chan, {Shing Chow}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 ; Conference date: 28-05-2017 Through 31-05-2017",
year = "2017",
month = sep,
day = "25",
doi = "10.1109/ISCAS.2017.8050508",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
booktitle = "IEEE International Symposium on Circuits and Systems",
}