DocumentCode
1596557
Title
The AMES wholesale power market test bed: A computational laboratory for research, teaching, and training
Author
Li, Hongyan ; Tesfatsion, Leigh
Author_Institution
Electr. & Comput. Eng. (ECpE) Dept., Iowa State Univ., Ames, IA, USA
fYear
2009
Firstpage
1
Lastpage
8
Abstract
Wholesale power markets around the world are currently undergoing a controversial restructuring of their architecture and rules of operation. Some commentators have argued that restructuring has not produced the intended improvements in market efficiency while at the same time it has complicated efforts to ensure reliability and fairness of operations. This situation suggests the desirability of having publicly available test beds suitable for the objective study of this restructuring process. This study reports on the AMES Wholesale Power Market Test Bed. AMES is an open-source agent-based computational laboratory designed for the systematic study of restructured wholesale power markets operating over AC transmission grids subject to congestion. The AMES traders have learning capabilities permitting them to evolve their trading strategies over time. The potential usefulness of AMES for research, teaching, and training purposes is discussed and illustrated.
Keywords
computer aided instruction; laboratories; power engineering computing; power engineering education; power grids; power markets; power transmission; AC transmission grids; AMES; open source agent based computational laboratory; power market restructuring; wholesale power market test bed; Computer architecture; Education; Grid computing; Intelligent agent; Laboratories; Open source software; Power markets; Power system reliability; Pricing; System testing; AMES Wholesale Power Market Test Bed; Agent-based test bed; Dynamic 5-bus test case; Locational marginal pricing (LMP); Multi-agent stochastic reinforcement learning; Restructured wholesale power markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location
Calgary, AB
ISSN
1944-9925
Print_ISBN
978-1-4244-4241-6
Type
conf
DOI
10.1109/PES.2009.5275969
Filename
5275969
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