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.
CITATION STYLE
Laia, R., Gomes, I. L. R., Pousinho, H. M. I., Melício, R., & Mendes, V. M. F. (2017). Self-scheduling of wind-thermal systems using a stochastic MILP approach. In IFIP Advances in Information and Communication Technology (Vol. 499, pp. 242–250). Springer New York LLC. https://doi.org/10.1007/978-3-319-56077-9_23
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