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Title: Aggregation platform for wind-pv-thermal technologies 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 aggregation
variable renewables
Issue Date: Jun-2018
Publisher: IEEE
Abstract: This paper addresses a stochastic Wind-PVThermal commitment to improve the bidding process of an aggregator in an electricity day-ahead market. The data for the wind and solar powers and for the market prices are given by a set of scenarios. Thermal units 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 management aggregation procedure based in a stochastic programming approach formulated as a mixed integer linear mathematical programming problem. A case study is addressed with market price from the Iberian Peninsula and comparison between disaggregated and aggregated bids is discussed to address the main conclusions.
Type: lecture
Appears in Collections:FIS - Comunicações - Em Congressos Científicos Internacionais

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