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dc.creatorAndrianesis, P.en
dc.creatorLiberopoulos, G.en
dc.creatorKozanidis, G.en
dc.date.accessioned2015-11-23T10:22:21Z
dc.date.available2015-11-23T10:22:21Z
dc.date.issued2009
dc.identifier10.1109/PTC.2009.5282008
dc.identifier.isbn9781424422357
dc.identifier.urihttp://hdl.handle.net/11615/25603
dc.description.abstractIn this paper, we address the design of a joint energy - reserve electricity market with non-convexities which are due to the fixed costs and capacity constraints of the generation units. Motivated by the relevant literature [1]-[5], we state a bid recovery mechanism that applies to the day-ahead scheduling problem, which is modeled as a mixed-integer linear programming problem. However, the particularly complex nature of the problem, especially if we consider it in its full scale, makes it extremely difficult if not impossible to analytically assess the market operation, under various market designs. Therefore, we proceed to an empirical analysis that aims to provide useful insight in evaluating the incentive compatibility of pricing and compensation schemes based on marginal pricing theory. In order to understand the bidding behavior of the participants and exhibit the proposed methodology, we present an illustrative example, based on Greece's day-ahead energy - reserve market. © 2009 IEEE.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-74949110493&partnerID=40&md5=f8dc7540ef92763b0e3122daa45902f4
dc.subjectDay-ahead schedulingen
dc.subjectElectricity marketen
dc.subjectNonconvexitiesen
dc.subjectBidding behavioren
dc.subjectCapacity constraintsen
dc.subjectCompensation schemeen
dc.subjectComplex natureen
dc.subjectEmpirical analysisen
dc.subjectFixed costen
dc.subjectFull scaleen
dc.subjectGeneration unitsen
dc.subjectIllustrative examplesen
dc.subjectIncentive compatibilityen
dc.subjectMarginal pricingen
dc.subjectMarket designen
dc.subjectMarket operationen
dc.subjectMixed integer linear programmingen
dc.subjectRecovery mechanismsen
dc.subjectReserve marketsen
dc.subjectScheduling problemen
dc.subjectCost accountingen
dc.subjectInteger programmingen
dc.subjectLinearizationen
dc.subjectSchedulingen
dc.subjectCommerceen
dc.titleEnergy-reserve markets with non-convexities: An empirical analysisen
dc.typeconferenceItemen


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