Bi-level Programming for Competitive Strategic Bidding Optimization in Electricity Markets

Zhang, G; Lu, J; Gao, Y

Bi-level Programming for Competitive Strategic Bidding Optimization in Electricity Markets

Zhang, G

Lu, J

Gao, Y

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Publication Type:: Journal Article
Citation:: Intelligent Systems Reference Library, 2015, 82 pp. 315 - 324
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Gao, Y	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Intelligent Systems Reference Library, 2015, 82 pp. 315 - 324	en_US
dc.identifier.issn	1868-4394	en_US
dc.identifier.uri	http://hdl.handle.net/10453/35659
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 2015. We focus on the application of bi-level programming in electricity markets (power market) in this chapter. Competitive strategic bidding optimization of electric power plants (companies) is becoming one of the key issues in electricity markets. This chapter presents a strategic bidding optimization technique developed by applying the bi-level programming. By analyzing the strategic bidding behavior of power plants, we understand that this bidding problem includes several power plants and only one market operator respectively known as multiple leaders and single follower.	en_US
dc.relation.ispartof	Intelligent Systems Reference Library	en_US
dc.relation.isbasedon	10.1007/978-3-662-46059-7_12	en_US
dc.title	Bi-level Programming for Competitive Strategic Bidding Optimization in Electricity Markets	en_US
dc.type	Journal Article
utslib.citation.volume	82	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	82	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 2015. We focus on the application of bi-level programming in electricity markets (power market) in this chapter. Competitive strategic bidding optimization of electric power plants (companies) is becoming one of the key issues in electricity markets. This chapter presents a strategic bidding optimization technique developed by applying the bi-level programming. By analyzing the strategic bidding behavior of power plants, we understand that this bidding problem includes several power plants and only one market operator respectively known as multiple leaders and single follower.

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http://hdl.handle.net/10453/35659