Self-scheduling of wind-thermal systems using a stochastic MILP approach
| dc.contributor.author | Laia, Rui | |
| dc.contributor.author | Gomes, Isaias | |
| dc.contributor.author | Pousinho, Hugo | |
| dc.contributor.author | Melício, Rui | |
| dc.contributor.author | Mendes, Victor | |
| dc.date.accessioned | 2018-01-23T11:41:25Z | |
| dc.date.available | 2018-01-23T11:41:25Z | |
| dc.date.issued | 2017-05 | |
| dc.description.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. | por |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | ruimelicio@gmail.com | |
| dc.identifier.authoremail | nd | |
| dc.identifier.doi | 10.1007/978-3-319-56077-9_23 | por |
| dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-319-56077-9_23 | |
| dc.identifier.uri | http://hdl.handle.net/10174/21924 | |
| dc.language.iso | eng | por |
| dc.rights | openAccess | por |
| dc.subject | Wind thermal coordination | por |
| dc.subject | stochastic programming | por |
| dc.subject | MILP | por |
| dc.title | Self-scheduling of wind-thermal systems using a stochastic MILP approach | por |
| dc.type | bookPart | por |