Pool-Based Demand Response Exchange—Concept and Modeling

In restructured power systems, there are many independent players who benefit from demand response (DR). These include the transmission system operator (TSO), distributors, retailers, and aggregators. This paper proposes a new concept-demand response eXchange (DRX)-in which DR is treated as a public good to be exchanged between DR buyers and sellers. Buyers need DR to improve the reliability of their own electricity-dependent businesses and systems. Sellers have the capacity to significantly modify electricity demand on request. Microeconomic theory is applied to model the DRX in the form of a pool-based market. In this market, a DRX operator (DRXO) collects DR bids and offers from the buyers and sellers, respectively. It then clears the market by maximizing the total market benefit subject to certain constraints including: demand-supply balance, and assurance contracts related to individual buyer contributions for DR. The DRX model is also tested on a small power system, and its efficiency is reported.

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

[2]  A. Tabarrok,et al.  The private provision of public goods via dominant assurance contracts , 1998 .

[3]  D. T. Nguyen.  Demand response for domestic and small business consumers: A new challenge , 2010, IEEE PES T&D 2010.

[4]  D. Kirschen,et al.  Fundamentals of power system economics , 1991 .

[5]  Masood Parvania,et al.  Demand Response Scheduling by Stochastic SCUC , 2010, IEEE Transactions on Smart Grid.

[6]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[7]  Barton L. Lipman,et al.  Provision of Public Goods: Fully Implementing the Core through Private Contributions , 1989 .

[8]  Pablo Frias,et al.  Calculation of the Elastic Demand Curve for a Day-Ahead Secondary Reserve Market , 2010, IEEE Transactions on Power Systems.

[9]  Loi Lei Lai,et al.  Power System Restructuring and Deregulation , 2001 .

[10]  A. Philpott,et al.  Optimizing demand-side bids in day-ahead electricity markets , 2006, IEEE Transactions on Power Systems.

[11]  R.J. Thomas,et al.  Demand-Side Bidding Agents: Modeling and Simulation , 2008, IEEE Transactions on Power Systems.

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

[13]  Daniel S. Kirschen.  Power system security , 2002 .

[14]  Badri Narayanan Ramanathan.  Power system security enhancement through direct non-disruptive load control , 2005 .

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

[16]  Ahmad Faruqui,et al.  Mitigating Price Spikes in Wholesale Markets through Market-Based Pricing in Retail Markets , 2000 .

[17]  M. Negnevitsky,et al.  Novel business models for Demand Response Exchange , 2010, IEEE PES General Meeting.

[18]  F. Alvarado,et al.  Using Utility Information to Calibrate Customer Demand Management Behavior Models , 2001, IEEE Power Engineering Review.

[19]  Earl R Brubaker.  Free Ride, Free Revelation, or Golden Rule? , 1975, The Journal of Law and Economics.

[20]  Kankar Bhattacharya,et al.  A generic operations framework for discos in retail electricity markets , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[21]  Dominique Y. Dupont,et al.  When Supply Meets Demand: The Case of Hourly Spot Electricity Prices , 2008, IEEE Transactions on Power Systems.