Study on congested power system in competitive electricity market: A proposed methodology

The primary economic concern of the market players in the restructured electricity market is the practice of market power by one or more participants. Market power practice can encumber competition in power production, service quality and technological innovation. This paper proposes a new composite method for investigating market power under congested condition. This method is based on an improved technique of locational marginal price (LMP) design employing shift-factor optimal power flow. Market concentration and social cost of congested are evaluated. Numerical example on the 24-bus IEEE Reliability Test system (IEEE-RTS) is presented to illustrate the proposed method.

[1]  Kankar Bhattacharya,et al.  Oligopolistic Competition of Gencos in Reactive Power Ancillary Service Provisions , 2009 .

[2]  Tao Huang,et al.  MARKET POWER ANALYSIS IN THE OLIGOPOLY ELECTRICITY MARKETS UNDER NETWORK CONSTRAINTS , 2010 .

[3]  A. Mas-Colell,et al.  Microeconomic Theory , 1995 .

[4]  Mohammad Shahidehpour,et al.  Market operations in electric power systems , 2002 .

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

[6]  Zheng Xu,et al.  Impacts of transmission congestion on market power in electricity market , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[7]  W. Marsden I and J , 2012 .

[8]  S. Stoft Power System Economics: Designing Markets for Electricity , 2002 .

[9]  Peng Wang,et al.  Nodal market power assessment in electricity markets , 2004 .

[10]  M. Mazumdar,et al.  A probability model for the electricity price duration curve under an oligopoly market , 2005, IEEE Transactions on Power Systems.

[11]  Steven Stoft,et al.  Market power in California electricity markets , 1995 .

[12]  Donghan Feng,et al.  Reactive Market Power Analysis Using Must-Run Indices , 2008, IEEE Transactions on Power Systems.

[13]  Fernando L. Alvarado,et al.  MARKET POWER: A DYNAMIC DEFINITION , 1998 .

[14]  Fangxing Li,et al.  Probabilistic LMP Forecasting Considering Load Uncertainty , 2009, IEEE Transactions on Power Systems.

[15]  Jinxiang Zhu,et al.  Forecasting energy prices in a competitive market , 1999 .

[16]  T.K. Saha,et al.  A comprehensive tool for congestion-based nodal price modelling , 2009, 2009 IEEE Power & Energy Society General Meeting.

[17]  Fangxing Li,et al.  Probabilistic LMP Forecasting Considering Load Uncertainty , 2009 .

[18]  A. K. David,et al.  Market Power in Electricity Supply , 2001, IEEE Power Engineering Review.

[19]  Udi Helman,et al.  Large-Scale Market Power Modeling: Analysis of the U.S. Eastern Interconnection and Regulatory Applications , 2010, IEEE Transactions on Power Systems.

[20]  Chen-Ching Liu,et al.  Day-Ahead Electricity Price Forecasting in a Grid Environment , 2007, IEEE Transactions on Power Systems.

[21]  Julián Barquín Gil,et al.  Cournot equilibrium calculation in power networks: An optimization approach with price response computation , 2008 .

[22]  A.M. Ranjbar,et al.  Market power monitoring in electricity market by using market simulation , 2006, 2006 IEEE Power India Conference.

[23]  T. Funabashi,et al.  Short-Term Price Forecasting for Competitive Electricity Market , 2006, 2006 38th North American Power Symposium.

[24]  John C. Dalton,et al.  Assessing the competitiveness of restructured generation , 1997 .

[25]  P. Wolfs,et al.  Transmission System Augmentation Based on the Concepts of Quantity Withheld and Monopoly Rent for Reducing Market Power , 2010, IEEE Transactions on Power Systems.

[26]  K.P. Wong,et al.  Analyzing Two-Settlement Electricity Market Equilibrium by Coevolutionary Computation Approach , 2009, IEEE Transactions on Power Systems.

[27]  T.K. Saha,et al.  Investigation on congestion-based optimal energy price for competitive electricity market , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.