Please use this identifier to cite or link to this item:
|Title: ||Self-scheduling of wind-thermal systems using a stochastic MILP approach|
|Authors: ||Laia, Rui|
|Keywords: ||Wind thermal coordination|
|Issue Date: ||May-2017|
|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.|
|Appears in Collections:||FIS - Publicações - Capítulos de Livros|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.