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Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework 总被引:1,自引:1,他引:1
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 US 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.
This article is an abridged version of Sun and Tesfatsion ST07a 相似文献
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