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Title: Distributed Optimal Power Flow Using Feasible Point Pursuit

Abstract

The AC Optimal Power Flow (OPF) is a core optimization task in the domain of power system operations and control. It is known to be nonconvex (and, in fact, NP-hard). In general operational scenarios, identifying feasible (let alone optimal) power-flow solutions remains hard. This paper leverages the recently proposed Feasible Point Pursuit algorithm for solving the OPF problem to devise a fully distributed procedure that can identify AC OPF solutions. The paper considers a multi-area setting and develops an algorithm where all the computations are done locally withing each area, and then the local controllers have to communicate to only their neighbors a small amount of information pertaining to the boundary buses. The merits of the proposed approach are illustrated through an example of a challenging transmission network.

Authors:
 [1];  [2];  [2];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. University of Minnesota
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1466552
Report Number(s):
NREL/CP-5D00-68658
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 10-13 December 2017, Curacao, Netherlands Antilles
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; optimal power flow; distributed optimization; feasible point pursuit; successive convex approximation

Citation Formats

Dall-Anese, Emiliano, Zamzam, Ahmed S., Fu, Xiao, and Sidiropoulos, Nicholas D. Distributed Optimal Power Flow Using Feasible Point Pursuit. United States: N. p., 2018. Web. doi:10.1109/CAMSAP.2017.8313064.
Dall-Anese, Emiliano, Zamzam, Ahmed S., Fu, Xiao, & Sidiropoulos, Nicholas D. Distributed Optimal Power Flow Using Feasible Point Pursuit. United States. doi:10.1109/CAMSAP.2017.8313064.
Dall-Anese, Emiliano, Zamzam, Ahmed S., Fu, Xiao, and Sidiropoulos, Nicholas D. Mon . "Distributed Optimal Power Flow Using Feasible Point Pursuit". United States. doi:10.1109/CAMSAP.2017.8313064.
@article{osti_1466552,
title = {Distributed Optimal Power Flow Using Feasible Point Pursuit},
author = {Dall-Anese, Emiliano and Zamzam, Ahmed S. and Fu, Xiao and Sidiropoulos, Nicholas D.},
abstractNote = {The AC Optimal Power Flow (OPF) is a core optimization task in the domain of power system operations and control. It is known to be nonconvex (and, in fact, NP-hard). In general operational scenarios, identifying feasible (let alone optimal) power-flow solutions remains hard. This paper leverages the recently proposed Feasible Point Pursuit algorithm for solving the OPF problem to devise a fully distributed procedure that can identify AC OPF solutions. The paper considers a multi-area setting and develops an algorithm where all the computations are done locally withing each area, and then the local controllers have to communicate to only their neighbors a small amount of information pertaining to the boundary buses. The merits of the proposed approach are illustrated through an example of a challenging transmission network.},
doi = {10.1109/CAMSAP.2017.8313064},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 12 00:00:00 EDT 2018},
month = {Mon Mar 12 00:00:00 EDT 2018}
}

Conference:
Other availability
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