The Maximum Flow Algorithm Applied to the Placement and Distributed Steady-State Control of UPFCs

Austin Armbruster; Bruce M. McMillin; Mariesa Crow; Michael R. Gosnell

doi:10.1109/NAPS.2005.1560505

The Maximum Flow Algorithm Applied to the Placement and Distributed Steady-State Control of UPFCs

Austin Armbruster
, Bruce M. McMillin
, Mariesa Crow
, Michael R. Gosnell

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The bulk power system is one of the largest man-made networks and its size makes control an extremely difficult task. This paper presents a method to control a power network using UPFCs set to levels determined by a maximum flow (max-flow) algorithm. The graph-theory-based max-flow is applied to the power system for UPFC placement and scheduling. A distributed version of max-flow is described to coordinate the actions of the UPFCs distributed in a power network. Two sample power systems were tested using max-flow for UPFC placement and settings. The resulting system characteristics are examined over all single-line contingencies and the appropriateness of the maximum flow algorithm for power flow control is discussed.

Original language	American English
Journal	Proceedings of the 37th Annual North American Power Symposium (2005, Ames, IA)
DOIs	https://doi.org/10.1109/NAPS.2005.1560505
State	Published - Oct 1 2005

Keywords

Load Flow Control
Operations Research
Power System Control
Power Transmission Control
Unified Power Flow Control

Disciplines

Computer Sciences

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10.1109/NAPS.2005.1560505License: CC BY

The Maximum Flow Algorithm Applied to the Placement and DistributFinal published version, 1.43 MBLicense: CC BY

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title = "The Maximum Flow Algorithm Applied to the Placement and Distributed Steady-State Control of UPFCs",

abstract = " The bulk power system is one of the largest man-made networks and its size makes control an extremely difficult task. This paper presents a method to control a power network using UPFCs set to levels determined by a maximum flow (max-flow) algorithm. The graph-theory-based max-flow is applied to the power system for UPFC placement and scheduling. A distributed version of max-flow is described to coordinate the actions of the UPFCs distributed in a power network. Two sample power systems were tested using max-flow for UPFC placement and settings. The resulting system characteristics are examined over all single-line contingencies and the appropriateness of the maximum flow algorithm for power flow control is discussed.",

keywords = "Load Flow Control, Operations Research, Power System Control, Power Transmission Control, Unified Power Flow Control",

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doi = "10.1109/NAPS.2005.1560505",

language = "American English",

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AU - Armbruster, Austin

AU - McMillin, Bruce M.

AU - Crow, Mariesa

AU - Gosnell, Michael R.

PY - 2005/10/1

Y1 - 2005/10/1

N2 - The bulk power system is one of the largest man-made networks and its size makes control an extremely difficult task. This paper presents a method to control a power network using UPFCs set to levels determined by a maximum flow (max-flow) algorithm. The graph-theory-based max-flow is applied to the power system for UPFC placement and scheduling. A distributed version of max-flow is described to coordinate the actions of the UPFCs distributed in a power network. Two sample power systems were tested using max-flow for UPFC placement and settings. The resulting system characteristics are examined over all single-line contingencies and the appropriateness of the maximum flow algorithm for power flow control is discussed.

AB - The bulk power system is one of the largest man-made networks and its size makes control an extremely difficult task. This paper presents a method to control a power network using UPFCs set to levels determined by a maximum flow (max-flow) algorithm. The graph-theory-based max-flow is applied to the power system for UPFC placement and scheduling. A distributed version of max-flow is described to coordinate the actions of the UPFCs distributed in a power network. Two sample power systems were tested using max-flow for UPFC placement and settings. The resulting system characteristics are examined over all single-line contingencies and the appropriateness of the maximum flow algorithm for power flow control is discussed.

KW - Load Flow Control

KW - Operations Research

KW - Power System Control

KW - Power Transmission Control

KW - Unified Power Flow Control

UR - https://scholarsmine.mst.edu/comsci_facwork/280

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DO - 10.1109/NAPS.2005.1560505

M3 - Article

JO - Proceedings of the 37th Annual North American Power Symposium (2005, Ames, IA)

JF - Proceedings of the 37th Annual North American Power Symposium (2005, Ames, IA)

ER -

The Maximum Flow Algorithm Applied to the Placement and Distributed Steady-State Control of UPFCs

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