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• W2598396194 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." @default.
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• W2598396194 date "2017-01-01" @default.
• W2598396194 modified "2023-09-27" @default.
• W2598396194 title "Self-scheduling of Wind-Thermal Systems Using a Stochastic MILP Approach" @default.
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• W2598396194 doi "https://doi.org/10.1007/978-3-319-56077-9_23" @default.
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