Economic inefficiencies and cross-subsidies in an auction-based electricity pool

This paper compares two contrasting yet often used electricity market-clearing procedures: (i) an auction-based algorithm including congestion management and transmission-loss cost allocation; and (ii) an optimal power flow. The auction procedure produces a single-period unit commitment, and hence, can be compared directly to an optimal power flow solution. These algorithms are compared in terms of the economic efficiency of the solution attained, and in terms of cross-subsidies among generators and demands. The purpose of this comparison is to quantify the actual cost to market participants of using a simple, seemingly transparent procedure, such as an auction-based algorithm, versus an integrated but computationally intensive one, such as an optimal power flow.

[1]  Donald V. Bourcier,et al.  Locational Market Power Screening and Congestion Management: Experience and Suggestions , 2002, IEEE Power Engineering Review.

[2]  Janusz Bialek,et al.  Tracing the flow of electricity , 1996 .

[3]  A. Gomez Exposito,et al.  Fair allocation of transmission power losses , 2000 .

[4]  Philip G. Hill,et al.  Power generation , 1927, Journal of the A.I.E.E..

[5]  Goran Strbac,et al.  Contributions of individual generators to loads and flows , 1997 .

[6]  J. L. Carpentier,et al.  Optimal Power Flows: Uses, Methods and Developments , 1985 .

[7]  Goran Strbac,et al.  Allocating transmission system usage on the basis of traceable contributions of generators and loads to flows , 1998 .

[8]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .

[9]  A. David,et al.  Transmission congestion management in an electricity market , 1999 .

[10]  George Gross,et al.  A physical-flow-based approach to allocating transmission losses in a transaction framework , 2000 .

[11]  Mohammad Shahidehpour,et al.  Maintenance Scheduling in Restructured Power Systems , 2000 .

[12]  G. Sheblé.  Computational Auction Mechanisms for Restructured Power Industry Operation , 1999 .

[13]  A. Vojdani,et al.  Transmission dispatch and congestion management in the emerging energy market structures , 1998 .

[14]  Francisco D. Galiana,et al.  A survey of the optimal power flow literature , 1991 .

[15]  G. Angelidis,et al.  Transmission access and pricing with multiple separate energy forward markets , 1999 .

[16]  P. Basagoiti,et al.  Spanish power exchange market and information system design concepts, and operating experience , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[17]  F. Galiana,et al.  Allocation of transmission losses to bilateral contracts in a competitive environment , 2000 .

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

[19]  Antonio J. Conejo,et al.  Incremental Transmission Loss Allocation under Pool Dispatch , 2002 .

[20]  Antonio J. Conejo,et al.  Z-Bus Loss Allocation , 2001 .

[21]  A. Papalexopoulos,et al.  Transmission congestion management in competitive electricity markets , 1998 .

[22]  Wenyuan Li,et al.  Reliability Assessment of Electric Power Systems Using Monte Carlo Methods , 1994 .

[23]  F. Galiana,et al.  Power systems restructuring : engineering and economics , 1998 .