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Conference Papers Year : 2017

Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach

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Abstract

In this work a stochastic (Stoc) mixed-integer linear programming (MILP) approach for the coordinated trading of a price-taker thermal (Ther) and wind power (WP) producer taking part in a day-ahead market (DAM) electricity market (EMar) is presented. Uncertainty (Uncer) on electricity price (EPr) and WP is considered through established scenarios. Thermal units (TU) are modelled by variable costs, start-up (ST-UP) technical operating constraints and costs, such as: forbidden operating zones, minimum (Min) up/down time limits and ramp up/down limits. The goal is to obtain the optimal bidding strategy (OBS) and the maximization of profit (MPro). The wind-Ther coordinated configuration (CoConf) is modelled and compared with the unCoConf. The CoConf and unCoConf are compared and relevant conclusions are drawn from a case study.
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Dates and versions

hal-01629587 , version 1 (06-11-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Rui Laia, Isaias Gomes, Hugo Pousinho, Rui Melício, Victor Mendes. Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. pp.242-250, ⟨10.1007/978-3-319-56077-9_23⟩. ⟨hal-01629587⟩
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