Simultaneous Clearing of Energy and Reserves in Multi-Area Markets Under Mixed Pricing Rules

The integration of the spot electricity markets in Europe shall lead to multi-area power exchanges that will substitute the local markets. In such scheme, market prices are affected by physical (e.g., network) constraints, yet they should sometimes follow regulatory policy rules, which do not necessarily reflect or depend on physical characteristics. In some cases, complex pricing rules should be implemented, which impose price discrimination for supply and demand entities within the same area. The methodology presented in this paper enables the balancing of supply and demand in a multi-area market considering energy and reserve bids, under complex pricing rules, which mix energy and reserve prices. A demand bid corresponds to the whole cost a demand entity is willing to pay for its participation in the energy market, including the cost for the procurement of the necessary reserves. The approach attains price integration of energy and reserves markets, simultaneous settlement of energy and reserves, and significant decrease of the payments through the uplift accounts. The main principle is the formulation of a mixed complementarity problem for the system equilibrium conditions, in which supply and demand are associated to explicitly or implicitly defined prices, which may be different even in the same zone.

[1]  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).

[2]  Chun-Lung Chen Optimal generation and reserve dispatch in a multi-area competitive market using a hybrid direct search method , 2005 .

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

[4]  A. Papalexopoulos,et al.  Pricing energy and ancillary services in integrated market systems by an optimal power flow , 2004, IEEE Transactions on Power Systems.

[5]  R. Adapa,et al.  Multi-area unit commitment via sequential method and a DC power flow network model , 1994 .

[6]  Jizhong Zhu,et al.  Multi-area power systems economic dispatch using nonlinear convex network flow programming , 2001 .

[7]  A. I. Cohen,et al.  Security Constrained Unit Commitment for open markets , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[8]  Lee Wei-Jen,et al.  Multi-Area Power Generation Dispatch in Competitive Markets , 2008, IEEE Transactions on Power Systems.

[9]  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 .

[10]  Richard W. Cottle,et al.  Linear Complementarity Problem. , 1992 .

[11]  Robert B. Wilson,et al.  Research Paper Series Graduate School of Business Stanford University Architecture of Power Markets Architecture of Power Markets 1 , 2022 .

[12]  Patrick T. Harker,et al.  Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications , 1990, Math. Program..

[13]  P Somasundaram. MULTI-AREA SECURITY CONSTRAINED ECONOMIC DISPATCH BY FUZZY- STOCHASTIC ALGORITHMS , 2009 .

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

[15]  Lingfeng Wang,et al.  Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search , 2009, Eng. Appl. Artif. Intell..

[16]  Yee Ming Chen,et al.  Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation , 2010, Int. J. Syst. Sci..

[17]  P. N. Biskas,et al.  Balancing Supply and Demand Under Mixed Pricing Rules in Multi-Area Electricity Markets , 2011, IEEE Transactions on Power Systems.

[18]  F. N. Lee,et al.  Multi-area unit commitment , 1992 .

[19]  R. Kazemzadeh,et al.  Two Area Power Systems Economic Dispatch Problem Solving Considering Transmission Capacity Constraints , 2007 .

[20]  Yonghong Chen,et al.  Midwest iso co-optimization based real-time dispatch and pricing of energy and ancillary services , 2009, 2009 IEEE Power & Energy Society General Meeting.

[21]  D. Streiffert,et al.  Multi-area economic dispatch with tie line constraints , 1995 .

[22]  S. Karamardian Generalized complementarity problem , 1970 .

[23]  J. J. Moré Coercivity Conditions in Nonlinear Complementarity Problems , 1974 .

[24]  C. Wang,et al.  Decomposition Approach to Nonlinear Multiarea Generation Scheduling with Tie-line Constraints Using Expert Systems , 1992, IEEE Power Engineering Review.

[25]  Seyed Hossein Hosseinian,et al.  Generation and reserve dispatch in a competitive market using constrained particle swarm optimization , 2010 .

[26]  S. M. Shahidehpour,et al.  Heuristic multi-area unit commitment with economic dispatch , 1991 .