DocumentCode
2641076
Title
Implication of different pricing rules on generators´ bidding behaviour
Author
Sugianto, Ly-Fie ; Liao, Zhigang
Author_Institution
Fac. of Bus. & Econ., Monash Univ., Clayton, VIC, Australia
fYear
2011
fDate
21-23 June 2011
Firstpage
2421
Lastpage
2425
Abstract
This paper presents an agent-based model to examine the employment of different pricing rules, namely the Uniform pricing rule and Pay-as-bid pricing rule. Using Q-learning in repetitive trading process, generator agents learn the market characteristics and seek to maximize their revenue by exploring bidding strategies. Supply quantity withholding and generators´ collusion phenomenon have been observed in this study under certain market arrangements. The implication of different pricing rules on the total dispatch costs and generators´ profit are discussed in this paper.
Keywords
learning (artificial intelligence); power markets; power system simulation; pricing; Q-learning; agent-based model; dispatch costs; generator profit; generators bidding behaviour; generators collusion phenomenon; pay-as-bid pricing rule; supply quantity withholding; uniform pricing rule; Conferences; Economics; Electricity; Electricity supply industry; Generators; ISO; Pricing; Q-Learning; agent-based model; auction market; pricing rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location
Beijing
ISSN
pending
Print_ISBN
978-1-4244-8754-7
Electronic_ISBN
pending
Type
conf
DOI
10.1109/ICIEA.2011.5975999
Filename
5975999
Link To Document