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Title: Wind-pv-thermal power aggregator in electricity market
Authors: Gomes, Isaías
Laia, Rui
Pousinho, Hugo
Melício, Rui
Mendes, Victor
Keywords: Aggregator
day-ahead market
mixed integer linear programming
stochastic programming
wind-pv-thermal units
variable renewables
Issue Date: May-2018
Publisher: SPRINGER
Abstract: This 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.
Type: bookPart
Appears in Collections:FIS - Publicações - Capítulos de Livros

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