Optimal location of unified power flow controller for congestion management

In deregulated environments, electricity companies are likely to experience an increase in the number of daily market transactions. Hie penetration of renewable energy generation is likely to bring further uncertainty of network management in terms of power flows and voltage: where the systems are being operated towards their limits. Subsequently the stressed systems would result in congestion in transmission networks Therefore, effective means for congestion management of transmission networks will become increasingly important, particularly for transmission system operators (TSOs). The benefits of using flexible AC transmission system (FACTS) controllers on transmission networks for static an dynamic control are well recognized. In this paper, a sensitivity based three-step optimization method, capable of determining the congestion cost optimal location and rating of a unified power flow controller (UPFC) is presented. A bilateral electricity market model is assumed and the proposed method is illustrated using the IEEE 30 bus system. Results show high congestion cost reductions, which reinforces the UPFC as a viable solution. In addition, it is shown that the sensitivity based method is efficient at identifying the vicinity of the optimal location for installation, as the number of required simulations is kept to a minimum. Copyright (C) 2009 John Wiley & Sons, Ltd.

[1]  S. G. Petoussis,et al.  Impact of the Transformer Tap-Ratio Control on the Electricity Market Equilibrium , 2008, IEEE Transactions on Power Systems.

[2]  E. Handschin,et al.  Modeling of the Generalized Unified Power Flow Controller (GUPFC) in a Nonlinear Interior Point OPF , 2001, IEEE Power Engineering Review.

[3]  J. Paserba,et al.  The FACTS on resolving transmission gridlock , 2003 .

[4]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[5]  G. T. Heydt,et al.  Power Quality Engineering , 2001, IEEE Power Engineering Review.

[6]  M. Bazargan,et al.  Congestion Management of Electricity Markets Using FACTS Controllers , 2007, 2007 IEEE Power Engineering Society General Meeting.

[7]  Edmarcio Antonio Belati,et al.  Optimal operation studies of the power system via sensitivity analysis , 2005 .

[8]  Nadarajah Mithulananthan,et al.  Facts about flexible AC transmission systems (FACTS) controllers: Practical installations and benefits , 2005 .

[9]  K.R. Godfrey,et al.  Management of Congestion Costs Utilizing FACTS Controllers in a Bilateral Electricity Market Environment , 2007, 2007 IEEE Lausanne Power Tech.

[10]  Philip J. Moore,et al.  Flexible AC transmission systems. II. Methods of transmission line compensation , 1996 .

[11]  D. Shirmohammadi,et al.  Optimal power flow sensitivity analysis , 1990 .

[12]  J. H. Provanzana,et al.  Installation, commissioning, and operation of the world's first UPFC on the AEP system , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[13]  Xiao-Ping Zhang,et al.  Advanced implementation of UPFC in a nonlinear interior-point OPF , 2001 .

[14]  J. R. McDonald,et al.  Reasoning with modal logic for power plant condition monitoring , 2001 .

[15]  Georgios C. Stamtsis,et al.  Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms , 2004, IEEE PES Power Systems Conference and Exposition, 2004..