Stochastic optimization for the daily joint operation of wind/PV and energy storage
| dc.contributor.author | Gomes, Isaias | |
| dc.contributor.author | Pousinho, Hugo | |
| dc.contributor.author | Melício, Rui | |
| dc.contributor.author | Mendes, Victor | |
| dc.date.accessioned | 2017-12-21T16:36:00Z | |
| dc.date.available | 2017-12-21T16:36:00Z | |
| dc.date.issued | 2017-05 | |
| dc.description.abstract | This paper deals with the problem of optimal bidding in a day-ahead market of electricity for a power producer having joint operation of wind with photovoltaic power systems and storage of energy. Uncertainty, not only on electricity market prices, but also on wind and photovoltaic powers, has to be faced in order to achieve optimal bidding. The problem is viewed as a sort of a two-stage stochastic optimization problem formulated by mix-integer linear programming. A case study with data from the Iberian Peninsula is presented and a comparison between joint and disjoint operations is discussed, allowing concluding that the joint operation attenuates the economic impact of disjoint operation volatility. | por |
| 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_27 | por |
| dc.identifier.scientificarea | 275 | por |
| dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-319-56077-9_27 | |
| dc.identifier.uri | http://hdl.handle.net/10174/21638 | |
| dc.language.iso | eng | por |
| dc.rights | openAccess | por |
| dc.subject | Day-ahead electricity market | por |
| dc.subject | energy storage | por |
| dc.subject | mixed-integer linear programming | por |
| dc.subject | stochastic optimization | por |
| dc.subject | wind with PV powers | por |
| dc.title | Stochastic optimization for the daily joint operation of wind/PV and energy storage | por |
| dc.type | bookPart | por |