A novel approach for modeling deregulated electricity markets

The theoretical framework developed in this study allows development of a model of deregulated electricity markets that explains two familiar empirical findings; the existence of forward premiums and price-cost markups in the spot market. This is a significant contribution because electricity forward premiums have been previously explained exclusively by the assumptions of perfect competition and risk-averse behavior while spot markups are generally the outcome of a body of literature assuming oligopolistic competition. Our theoretical framework indicates that a certain premium for forward contracting is required for efficient allocation of generation capacity. However, due to the uniqueness of electricity and the design of deregulated electricity markets this premium might be substantially higher than its optimal level.

[1]  E. Mansur Measuring Welfare in Restructured Electricity Markets , 2007, The Review of Economics and Statistics.

[2]  Richard Green,et al.  The Electricity Contract Market in England and Wales , 2003 .

[3]  Ronald Huisman,et al.  Storage and the Electricity Forward Premium , 2009 .

[4]  H. Bessembinder,et al.  Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets , 1999 .

[5]  Catherine D. Wolfram,et al.  Measuring Duopoly Power in the British Electricity Spot Market , 1999 .

[6]  S. Borenstein,et al.  Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market , 2002 .

[7]  F. Longstaff,et al.  Electricity Forward Prices: A High-Frequency Empirical Analysis , 2002 .

[8]  Chung-Li Tseng,et al.  Short-Term Generation Asset Valuation: A Real Options Approach , 2002, Oper. Res..

[9]  Karsten Neuhoff,et al.  Wind power and market power in competitive markets , 2010 .

[10]  P. McSharry,et al.  A comparison of univariate methods for forecasting electricity demand up to a day ahead , 2006 .

[11]  L. Tesfatsion,et al.  Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework , 2007 .

[12]  Craig Pirrong,et al.  The price of power: The valuation of power and weather derivatives , 2008 .

[13]  H. Holttinen Optimal electricity market for wind power , 2004 .

[14]  L. J. Soares,et al.  Forecasting electricity demand using generalized long memory , 2003 .

[15]  J. B. Cruz,et al.  Bidding strategies in oligopolistic dynamic electricity double-sided auctions , 2005, IEEE Transactions on Power Systems.

[16]  David M Newbery,et al.  Competition, Contracts, and Entry in the Electricity Spot Market , 1998 .

[17]  M. Medeiros,et al.  Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data , 2008 .

[18]  R. Green,et al.  Competition in the British Electricity Spot Market , 1992, Journal of Political Economy.

[19]  Álvaro Cartea,et al.  Spot Price Modeling and the Valuation of Electricity Forward Contracts: The Role of Demand and Capacity , 2007 .

[20]  P. Klemperer,et al.  Supply Function Equilibria in Oligopoly under Uncertainty , 1989 .

[21]  Álvaro Cartea,et al.  Pricing Forward Contracts in Power Markets By the Certainty Equivalence Principle: Explaining the Sign of the Market Risk Premium , 2007 .

[22]  Steven L. Puller Pricing and Firm Conduct in California's Deregulated Electricity Market , 2007, The Review of Economics and Statistics.

[23]  S. Borenstein,et al.  An Empirical Analysis of the Potential for Market Power in California&Apos;S Electricity Industry , 1998 .

[24]  Blaise Allaz,et al.  Cournot Competition, Forward Markets and Efficiency , 1993 .

[25]  Chen-Ching Liu,et al.  Financial risk management in a competitive electricity market , 1999 .