Multiple matrix rank constrained optimization for optimal power flow over large scale transmission networks

Shi, Y; Tuan, HD; Su, SW; Savkin, AV

Multiple matrix rank constrained optimization for optimal power flow over large scale transmission networks

Shi, Y

Tuan, HD

Su, SW

Savkin, AV

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Publication Type:: Conference Proceeding
Citation:: SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, 2016, pp. 384 - 389
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Shi, Y https://orcid.org/0000-0003-2302-4980	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Savkin, AV	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, 2016, pp. 384 - 389	en_US
dc.identifier.isbn	9789897581847	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122807
dc.description.abstract	© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. The optimal power flow (OPF) problem for power transmission networks is an NP-hard optimization problem with numerous quadratic equality and indefinite quadratic inequality constraints on bus voltages. The existing nonlinear solvers often fail in yielding a feasible solution. In this paper, we follow our previously developed nonsmooth optimization approach to address this difficult large-scale OPF problem, which is an iterative process to generate a sequence of improved solutions that converge to an optimal solution. Each iteration calls an SDP of a moderate dimension. Intensive simulations for OPF over networks with a large number of buses are provided to demonstrate the efficiency of our approach.	en_US
dc.relation.ispartof	SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems	en_US
dc.title	Multiple matrix rank constrained optimization for optimal power flow over large scale transmission networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. The optimal power flow (OPF) problem for power transmission networks is an NP-hard optimization problem with numerous quadratic equality and indefinite quadratic inequality constraints on bus voltages. The existing nonlinear solvers often fail in yielding a feasible solution. In this paper, we follow our previously developed nonsmooth optimization approach to address this difficult large-scale OPF problem, which is an iterative process to generate a sequence of improved solutions that converge to an optimal solution. Each iteration calls an SDP of a moderate dimension. Intensive simulations for OPF over networks with a large number of buses are provided to demonstrate the efficiency of our approach.

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http://hdl.handle.net/10453/122807