Wind-pv-thermal power aggregator in electricity market

dc.contributor.authorGomes, Isaías
dc.contributor.authorLaia, Rui
dc.contributor.authorPousinho, Hugo
dc.contributor.authorMelício, Rui
dc.contributor.authorMendes, Victor
dc.date.accessioned2019-01-09T14:58:52Z
dc.date.available2019-01-09T14:58:52Z
dc.date.issued2018-05
dc.description.abstractThis paper addresses the aggregation of wind, photovoltaic and thermal units with the aim to improve bidding in an electricity market. Market prices, wind and photovoltaic powers are assumed as data given by a set of scenarios. Thermal unit modeling includes start-up costs, variables costs and bounds due to constraints of technical operation, such as: ramp up/down limits and minimum up/down time limits. The modeling is carried out in order to develop a mathematical programming problem based in a stochastic programming approach formulated as a mixed integer linear programming problem. A case study comparison between disaggregated and aggregated bids for the electricity market of the Iberian Peninsula is presented to reveal the advantage of the aggregation.por
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.authoremailruimelicio@gmail.com
dc.identifier.authoremailnd
dc.identifier.doi10.1007/978-3-319-78574-5_10por
dc.identifier.scientificarea275por
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-319-78574-5_10
dc.identifier.urihttp://hdl.handle.net/10174/23951
dc.language.isoengpor
dc.publisherSPRINGERpor
dc.rightsopenAccesspor
dc.subjectAggregatorpor
dc.subjectday-ahead marketpor
dc.subjectmixed integer linear programmingpor
dc.subjectstochastic programmingpor
dc.subjectwind-pv-thermal unitspor
dc.subjectvariable renewablespor
dc.titleWind-pv-thermal power aggregator in electricity marketpor
dc.typebookPartpor

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