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Advisor(s)
Abstract(s)
This paper addresses a stochastic Wind-PV- Thermal 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.
Description
Keywords
Aggregator Day-ahead market Mixed integer linear programming Stochastic programming Wind-PV-Thermal aggregation Variable renewables
Citation
GOMES, Isaias L. R.; [et al] – Aggregation platform for Wind-PV-Thermal technology in electricity market. In 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). Amalfi, Italy: IEEE, 2018. ISBN 978-1-5386-4941-1. Pp. 799-804
Publisher
Institute of Electrical and Electronics Engineers