Optimal Bidding Strategies of Wind-Thermal Power Producers
This paper addresses a stochastic mixed-integer linear programming model for solving the self-scheduling problem of a thermal and wind power producer acting in an electricity market. Uncertainty on market prices and on wind power is modelled via a scenarios set. The mathematical formulation of therm...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2018
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10174/21711 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/21711 |
| Resumo: | This paper addresses a stochastic mixed-integer linear programming model for solving the self-scheduling problem of a thermal and wind power producer acting in an electricity market. Uncertainty on market prices and on wind power is modelled via a scenarios set. The mathematical formulation of thermal units takes into account variable and start-up costs and operational constraints like: ramp up/down limits and minimum up/down time limits. A mixed-integer linear formulation is used to obtain the offering strategies of the coordinated production of thermal and wind energy generation, aiming the profit maximization. Finally, a case study is presented and results are discussed. |
|---|