The incentive announcement effect of demand response on market power mitigation in the electricity market

The incentive announcement effect of demand response (DR), which can mitigate exercising of market power, was assessed using a game theory method. To analyze player behaviors, the profit functions of generation companies, DR consumers, and normal consumers were formulated and their best response functions derived. Because the implementation method of a pre-announced DR incentive with game theory has not been studied before, a sequential game that can make a normal consumer a leader was considered. The leader's strategy, i.e., the incentive level, is determined by a neutral agent to prevent overuse of the demand resource. With this procedure, market equilibrium can be obtained by solving the Stackelberg game. An analytical solution for market equilibrium was derived for a simple case; simulations were used to confirm the maintenance of tendencies in a more complex case. As a result, the market clearing price was reduced and a fairer distribution of the surplus was achieved compared with the result of the oligopoly condition case. This indicates that the exercise of market power is affected by the incentive announcement procedure and market power can be mitigated.

[1]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[2]  K. Le,et al.  A Procedure for Coordinating Direct-Load-Control Strategies to Minimize System Production Costs , 1983, IEEE Transactions on Power Apparatus and Systems.

[3]  E. Bompard,et al.  The Demand Elasticity Impacts on the Strategic Bidding Behavior of the Electricity Producers , 2007, IEEE Transactions on Power Systems.

[4]  M. P. Moghaddam,et al.  Flexible demand response programs modeling in competitive electricity markets , 2011 .

[5]  D. Kirschen,et al.  Factoring the elasticity of demand in electricity prices , 2000 .

[6]  Kathleen L. Spees,et al.  Demand Response and Electricity Market Efficiency , 2007 .

[7]  Jiming Chen,et al.  A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches , 2015, IEEE Transactions on Industrial Informatics.

[8]  M. Parsa Moghaddam,et al.  Modeling and prioritizing demand response programs in power markets , 2010 .

[9]  Soodabeh Soleymani,et al.  Strategic Bidding of an Electricity Distribution Company with Distributed Generation and Interruptible Load in a Day-Ahead Electricity Market , 2014 .

[10]  Shaohua Zhang,et al.  Integration of Interruptible Load Contracts in Supply Function Equilibrium Analysis for Electricity Markets , 2012, 2012 Asia-Pacific Power and Energy Engineering Conference.

[11]  P. Centolella The integration of Price Responsive Demand into Regional Transmission Organization (RTO) wholesale power markets and system operations , 2010 .

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

[13]  G. Strbac,et al.  Framework for the incorporation of demand-side in a competitive electricity market , 1996 .

[14]  D. L. Pepyne,et al.  Gaming and Price Spikes in Electric Power Markets , 2001, IEEE Power Engineering Review.

[15]  Thomas Ackermann,et al.  Distributed resources and re-regulated electricity markets , 2007 .

[16]  R. Baldick,et al.  Theory and Application of Linear Supply Function Equilibrium in Electricity Markets , 2004 .

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

[18]  James F. Wilson Scarcity, Market Power, and Price Caps in Wholesale Electric Power Markets , 2000 .

[19]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[20]  Ettore Francesco Bompard,et al.  The effect of the programs for demand response incentives in competitive electricity markets , 2009 .

[21]  E. Centeno,et al.  Strategic Analysis of Electricity Markets Under Uncertainty: A Conjectured-Price-Response Approach , 2007, IEEE Transactions on Power Systems.

[22]  G.R. Yousefi,et al.  Demand Response model considering EDRP and TOU programs , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[23]  S. M. Moghaddas-Tafreshi,et al.  Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation , 2011, IEEE Transactions on Power Systems.

[24]  M. Haghifam,et al.  A demand response based solution for LMP management in power markets , 2011 .

[25]  R. Adapa,et al.  Scheduling direct load control to minimize system operation cost , 1995 .

[26]  Ettore Francesco Bompard,et al.  The Impacts of Price Responsiveness on Strategic Equilibrium in Competitive Electricity Markets , 2007 .

[27]  Quanyan Zhu,et al.  Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach , 2013, IEEE Transactions on Smart Grid.

[28]  M. Pedrasa,et al.  Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization , 2009, IEEE Transactions on Power Systems.

[29]  Peter Cappers,et al.  Future Opportunities and Challenges with Using Demand Response as a Resource in Distribution System Operation and Planning Activities , 2015 .

[30]  Jae-Kun Lyu,et al.  Determining the Interruptible Load with Strategic Behavior in a Competitive Electricity Market , 2014 .

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

[32]  D. Kirschen,et al.  Quantifying the Effect of Demand Response on Electricity Markets , 2007, IEEE Transactions on Power Systems.

[33]  Dmitriy Katz,et al.  Incentive Design for Lowest Cost Aggregate Energy Demand Reduction , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[34]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .