A Fuzzy Bilevel Model and a PSO-based Algorithm for Day-ahead Electricity Market Strategy Making

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dc.contributor.author Zhang, G
dc.contributor.author Gao, Y
dc.contributor.author Lu, J
dc.contributor.editor Velasquez, JD
dc.contributor.editor Ríos, SA
dc.contributor.editor Howlett, RJ
dc.contributor.editor Jain, LC
dc.date.accessioned 2010-05-28T10:00:24Z
dc.date.issued 2009-01
dc.identifier.citation Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009 Lecture Notes in Computer Science Vol 5712, 2009, pp. 736 - 744
dc.identifier.isbn 978-3-642-04591-2
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10907
dc.description.abstract This paper applies bilevel optimization techniques and fuzzy set theory to model and support bidding strategy making in electricity markets. By analyzing the strategic bidding behavior of generating companies, we build up a fuzzy bilevel optimization model for day-ahead electricity market strategy making. In this model, each generating company chooses the bids to maximize the individual profit. A market operator solves an optimization problem based on the minimization purchase electricity fare to determine the output power for each unit and uniform marginal price. Then, a particle swarm optimization (PSO)-based algorithm is developed for solving problems defined by this model.
dc.publisher IOS Press
dc.relation.isbasedon 10.1007/978-3-642-04592-9_91
dc.title A Fuzzy Bilevel Model and a PSO-based Algorithm for Day-ahead Electricity Market Strategy Making
dc.type Conference Proceeding
dc.parent Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009 Lecture Notes in Computer Science Vol 5712
dc.journal.number en_US
dc.publocation Netherlands en_US
dc.identifier.startpage 736 en_US
dc.identifier.endpage 744 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080605 Decision Support and Group Support Systems
dc.personcode 001038
dc.personcode 020014
dc.personcode 102497
dc.personcode 104080
dc.percentage 67 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Knowledge-Based and Intelligent Information and Engineering Systems en_US
dc.date.activity 20090928 en_US
dc.date.activity 2009-09-28
dc.location.activity Santiago, Chile en_US
dc.description.keywords nonlinear bilevel optimization - fuzzy set - electricity market - strategic bidding - particle swarm algorithm en_US
pubs.embargo.period Not known
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 Systems, Management and Leadership
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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