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

Austin Armbruster
Bruce M. McMillin, Missouri University of Science and Technology
Mariesa Crow, Missouri University of Science and Technology
Michael R. Gosnell

This document has been relocated to

There were 16 downloads as of 28 Jun 2016.


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.