Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework

Junjie Sun and Leigh Tesfatsion ()

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: In April 2003 the U.S. Federal Energy Regulatory Commission proposed a complicated market design – the Wholesale Power Market Platform (WPMP) – for common adoption by all U.S. wholesale power markets. Versions of the WPMP have been implemented in New England, New York, the mid-Atlantic states, the Midwest, the Southwest, and California. Strong opposition to the WPMP persists among some industry stakeholders, however, due largely to a perceived lack of adequate performance testing. This study reports on the model development and open-source implementation (in Java) of a computational wholesale power market organized in accordance with core WPMP features and operating over a realistically rendered transmission grid. The traders within this market model are strategic profit-seeking agents whose learning behaviors are based on data from human-subject experiments. Our key experimental focus is the complex interplay among structural conditions, market protocols, and learning behaviors in relation to short-term and longer-term market performance. Findings for a dynamic 5-node transmission grid test case are presented for concrete illustration.

Date: 2007-01-01
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Related works:
Journal Article: Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework (2007)
Working Paper: Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework (2007)
Working Paper: Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework (2006)
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