Three-phase optimal power flow for smart grids by iterative nonsmooth optimization

Shi, Y; Tuan, HD; Savkin, AV

Three-phase optimal power flow for smart grids by iterative nonsmooth optimization

Shi, Y

Tuan, HD

Savkin, AV

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Publication Type:: Conference Proceeding
Citation:: SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, 2017, pp. 323 - 328
Issue Date:: 2017-01-01

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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	Savkin, AV	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, 2017, pp. 323 - 328	en_US
dc.identifier.isbn	9789897582417	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115847
dc.description.abstract	© 2017 by SCITEPRESS Science and Technology Publications, Lda. All Rights Reserved. Optimal power flow is important for operation and planning of smart grids. The paper considers the so called unbalanced thee-phase optimal power flow problem (TOPF) for smart grids, which involves multiple quadratic equality and indefinite quadratic inequality constraints to model the bus interconnections, hardware capacity and balance between power demand and supply. The existing Newton search based or interior point algorithms are often trapped by a local optimum while semidefinite programming relaxation (SDR) even fails to locate a feasible point. Following our previously developed nonsmooth optimization approach, computational solution for TOPF is provided. Namely, an iterative procedure for generating a sequence of improved points that converges to an optimal solution, is developed. Simulations for TOPF in unbalanced distributed networks are provided to demonstrate the practicability and efficiency of our approach.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP110105066
dc.relation.ispartof	SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems	en_US
dc.title	Three-phase optimal power flow for smart grids by iterative nonsmooth optimization	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0805 Distributed Computing	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 by SCITEPRESS Science and Technology Publications, Lda. All Rights Reserved. Optimal power flow is important for operation and planning of smart grids. The paper considers the so called unbalanced thee-phase optimal power flow problem (TOPF) for smart grids, which involves multiple quadratic equality and indefinite quadratic inequality constraints to model the bus interconnections, hardware capacity and balance between power demand and supply. The existing Newton search based or interior point algorithms are often trapped by a local optimum while semidefinite programming relaxation (SDR) even fails to locate a feasible point. Following our previously developed nonsmooth optimization approach, computational solution for TOPF is provided. Namely, an iterative procedure for generating a sequence of improved points that converges to an optimal solution, is developed. Simulations for TOPF in unbalanced distributed networks are provided to demonstrate the practicability and efficiency of our approach.

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http://hdl.handle.net/10453/115847