Inter-Utilities Power-Exchange Coordination: A Market-Oriented Approach

A decentralized operation of the transmission grid for scheduling inter-utilities power exchanges is proposed. This approach is well suited for market-oriented environments; it achieves a market equilibrium while the operational independence of each interconnected utility is preserved. We employ decomposition-coordination techniques in combination with an interior-pointlcutting-plane method in order to reduce the number of iterations of the decomposition algorithm. The paper includes test results on IEEE-based systems.

[1]  F. Schweppe.  Spot Pricing of Electricity , 1988 .

[2]  William W. Hogan,et al.  MARKET COORDINATION OF TRANSMISSION LOADING RELIEF ACROSS MULTIPLE REGIONS , 1998 .

[3]  Mokhtar S. Bazaraa,et al.  Nonlinear Programming: Theory and Algorithms , 1993 .

[4]  Michael A. Einhorn.  From Regulation to Competition: New frontiers in electricity markets , 1994 .

[5]  S. M. Shahidehpour,et al.  Energy interchange in deregulated power systems , 1996 .

[6]  Gerald B. Sheblé,et al.  Optimal power flow emulation of interchange brokerage systems using linear programming , 1992 .

[7]  Antonio J. Conejo,et al.  Decentralized Nodal-Price Self-Dispatch and Unit Commitment , 2002 .

[8]  J. Goffin,et al.  Decomposition and nondifferentiable optimization with the projective algorithm , 1992 .

[9]  Ross Baldick,et al.  Coarse-grained distributed optimal power flow , 1997 .

[10]  Gerald B. Sheblé,et al.  The implementation of an energy brokerage system using linear programming , 1992 .

[11]  Jacek Gondzio,et al.  Solving nonlinear multicommodity flow problems by the analytic center cutting plane method , 1997, Math. Program..

[12]  A. Conejo,et al.  Multi-area coordinated decentralized DC optimal power flow , 1998 .

[13]  V. Quintana,et al.  An interior-point/cutting-plane method to solve unit commitment problems , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[14]  J. E. Kelley,et al.  The Cutting-Plane Method for Solving Convex Programs , 1960 .

[15]  L. R. Day.  Interchange scheduling: discipline or disorder? , 1996 .

[16]  V. Quintana,et al.  An interior-point/cutting-plane method to solve unit commitment problems , 1999 .

[17]  Marija D. Ilic,et al.  Benefit optimization of centralized and decentralized power systems in a multi-utility environment , 1993 .

[18]  M.Th. Schilling,et al.  Probing the new IEEE Reliability Test System (RTS-96): HL-II assessment , 1998 .

[19]  O. Nelles,et al.  An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.

[20]  Jean-Louis Goffin,et al.  On a Primal-Dual Analytic Center Cutting Plane Method for Variational Inequalities , 1997, Comput. Optim. Appl..

[21]  Balho H. Kim,et al.  A fast distributed implementation of optimal power flow , 1999 .

[22]  M. V. Rakic,et al.  Short term operation and power exchange planning of hydro-thermal power systems , 1994 .

[23]  Narayan S. Rau,et al.  A Model for Economy Energy Enchanges in Interconnected Power Systems , 1989, IEEE Power Engineering Review.

[24]  Peter B. Luh,et al.  Optimization-based inter-utility power purchases , 1993 .