Title :
The maximum flow algorithm applied to the placement and distributed steady-state control of UPFCs
Author :
Armbruster, Austin ; Gosnell, Michael ; McMillin, Bruce ; Crow, Mariesa
Author_Institution :
Intelligent Syst. Center, Missouri Univ., Rolla, MO, USA
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 :
distributed control; graph theory; load flow control; power system control; UPFC; bulk power system; distributed steady-state control; graph-theory-based max-flow; maximum flow algorithm; placement control; power flow control; power network control; Communication system control; Control systems; Distributed control; Load flow; Power system control; Power system interconnection; Power systems; Power transmission lines; Size control; Steady-state;
Conference_Titel :
Power Symposium, 2005. Proceedings of the 37th Annual North American
Print_ISBN :
0-7803-9255-8
DOI :
10.1109/NAPS.2005.1560505