Energy and reserve market designs with explicit consideration to lost opportunity costs

The primary goal of this work is to investigate the basic energy and reserve dispatch optimization (cooptimization) in the setting of a pool-based market. Of particular interest is the modeling of lost opportunity cost introduced by reserve allocation. The authors derive the marginal costs of energy and reserves under a variety of market designs. They also analyze existence, algorithm, and multiplicity of optimal solutions. The results of this study are used to support the reserve market design and implementation in ISO New England control area.

[1]  M. Caramanis,et al.  Optimal Spot Pricing: Practice and Theory , 1982, IEEE Power Engineering Review.

[2]  M. L. Baughman,et al.  Real-time pricing of reactive power: theory and case study results , 1991, IEEE Power Engineering Review.

[3]  W. Hogan.  Contract networks for electric power transmission , 1992 .

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

[5]  M. Aganagic,et al.  Spot pricing of capacities for generation and transmission of reserve in an extended Poolco model , 1998 .

[6]  Jonathan F. Bard,et al.  Practical Bilevel Optimization: Algorithms and Applications , 1998 .

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

[8]  Chen-Ching Liu,et al.  Analysis of electricity market rules and their effects on strategic behavior in a noncongestive grid , 1998 .

[9]  Pravin Varaiya,et al.  Coordinated multilateral trades for electric power networks: theory and implementation , 1999 .

[10]  Xingwang Ma,et al.  Energy and Reserve Dispatch In a Multi-zone Electricity Market , 1999 .

[11]  K. Cheung,et al.  Energy and ancillary service dispatch for the interim ISO New England electricity market , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[12]  Robert J. Thomas,et al.  A web-based platform for experimental investigation of electric power auctions , 1999, Decis. Support Syst..

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

[14]  N. S. Rau,et al.  Optimal dispatch of a system based on offers and bids-a mixed integer LP formulation , 1999 .

[15]  A. Papalexopoulos,et al.  Competitive procurement of ancillary services by an independent system operator , 1999 .

[16]  E. Allen,et al.  Reserve markets for power systems reliability , 2000 .

[17]  R. Green,et al.  Competition in generation: the economic foundations , 2000, Proceedings of the IEEE.

[18]  D. Shirmohammadi,et al.  Clearing prices computation for integrated generation, reserve and transmission markets , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[19]  D. Chattopadhyay,et al.  Pricing for voltage stability , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[20]  P. Shamsollahi,et al.  Market based regulation for the PJM electricity market , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[21]  M. O'Malley,et al.  Reliability and Reserve in Competitive Electricity Market Scheduling , 2001, IEEE Power Engineering Review.

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