Title	Error Bounds on Power Flow Linearizations: A Convex Relaxation Approach
Creator	Molzahn, Daniel
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-03-07T10:10
Description	The power flow equations model the relationship between the voltages phasors and power flows in an electric power system. The nonlinearity of the power flow equations results in algorithmic and theoretical challenges, including non-convex feasible spaces for optimization problems constrained by these equations. Accordingly, many practical approaches for solving power system optimization and control problems employ linearizations of the power flow equations. By leveraging developments in convex relaxation techniques, this presentation describes recent progress regarding a method for bounding the worst-case errors resulting from power flow linearizations. Specifically, with a focus on the DC power flow approximation, this presentation characterizes the worst-case error in the line flows over a specified range of operational conditions.
Extent	30 minutes
Subject	Mathematics; Operations research, mathematical programming; Systems theory; control; Control/optimization/operation research
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Argonne National Laboratory
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-09-04
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0355386
URI	http://hdl.handle.net/2429/62952
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Error Bounds on Power Flow Linearizations: A Convex Relaxation Approach Molzahn, Daniel

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