How will demand response aggregators affect electricity markets? — A Cournot game analysis

The future electricity grid will include greater and more sophisticated demand side participation. Favored by recent rulings by the Federal Energy Regulatory Commission (FERC), Demand Response (DR) aggregators can combine load requests from a large consumer base and provide load modifications that will be compensated in the wholesale electricity market at the market price. This paper examines the market effects of including Green Energy Management System (GEMS), a future Demand Response (DR) program that will take advantage of operational flexibility of certain types of loads to shape demand profile. Adopting a Cournot game model, we give equilibrium analysis of wholesale electricity market incorporating GEMS as a DR aggregator. The players in the game include traditional generators, the GEMS, and the Independent System Operator (ISO). We provide generalized forms of the optimality conditions for each of these players and show that under certain conditions, the market equilibrium exists and is unique. Our numerical results indicate that the inclusion of GEMS within the power network reduces the average market price of electricity and saves money for customers.

[1]  J. Goodman Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .

[2]  Chen Chen,et al.  A Cournot game analysis on market effects of queuing energy request as demand response , 2012, 2012 IEEE Power and Energy Society General Meeting.

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

[4]  Anna Scaglione,et al.  From Packet to Power Switching: Digital Direct Load Scheduling , 2012, IEEE Journal on Selected Areas in Communications.

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

[6]  Jian Yao,et al.  Modeling and Computing Two-Settlement Oligopolistic Equilibrium in a Congested Electricity Network , 2006, Oper. Res..

[7]  John Keene,et al.  Demand Response Compensation in Organized Wholesale Energy Markets Technical Conference , 2010 .

[8]  R. Baldick,et al.  Capacity Constrained Supply Function Equilibrium Models of Electricity Markets: Stability, Non- decreasing constraints, and Function Space Iterations , 2002 .

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

[10]  Jian Yao,et al.  Cournot equilibria in two-settlement electricity markets with system contingencies , 2007, Int. J. Crit. Infrastructures.

[11]  B. Hobbs,et al.  Linear Complementarity Models of Nash-Cournot Competition in Bilateral and POOLCO Power Markets , 2001, IEEE Power Engineering Review.

[12]  Jian Yao,et al.  Two-settlement electricity markets with price caps and Cournot generation firms , 2007, Eur. J. Oper. Res..

[13]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[14]  Wolf-Peter Schill,et al.  The Effect of Market Power on Electricity Storage Utilization: The Case of Pumped Hydro Storage in Germany , 2009 .

[15]  Na Li,et al.  Two Market Models for Demand Response in Power Networks , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[16]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[17]  James Bushnell,et al.  Market Power in Electricity Markets: Beyond Concentration Measures , 1999 .