Market Design Test Environments
AbstractPower industry restructuring continues to evolve at multiple levels of system operations. At the bulk electricity level, several organizations charged with regional system operation are implementing versions of a Wholesale Power Market Platform (WPMP) in response to U.S. Federal Energy Regulatory Commission initiatives. Recently the Energy Policy Act of 2005 and several regional initiatives have been pressing the integration of demand response as a resource for system operations. These policy and regulatory pressures are driving the exploration of new market designs at the wholesale and retail levels. The complex interplay among structural conditions, market protocols, and learning behaviors in relation to short-term and longer-term market performance demand a flexible computational environment where designs can be tested and sensitivities to power system and market rule changes can be explored. This paper discusses the use of agent-based computational methods for the study of electricity markets at the wholesale and retail levels, and explores distinctions in problem formulation between these levels. Related work can be accessed at: http://www.econ.iastate.edu/tesfatsi/AMESMarketHome.htm
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12516.
Date of creation: 01 Jan 2006
Date of revision:
Contact details of provider:
Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
More information through EDIRC
restructuring; Agent-based test bed; AMES; Power industry; market design; wholesale; retail;
Find related papers by JEL classification:
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
- D4 - Microeconomics - - Market Structure and Pricing
- D6 - Microeconomics - - Welfare Economics
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
- L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-03-18 (All new papers)
- NEP-COM-2006-03-18 (Industrial Competition)
- NEP-ENE-2006-03-18 (Energy Economics)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Junjie Sun & Leigh Tesfatsion, 2007.
"Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework,"
Society for Computational Economics, vol. 30(3), pages 291-327, October.
- Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers 12649, Iowa State University, Department of Economics.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stephanie Bridges) The email address of this maintainer does not seem to be valid anymore. Please ask Stephanie Bridges to update the entry or send us the correct address.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.