Abstract : 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.
Luis M. Camarinha-Matos; António J. Falcão; Nazanin Vafaei; Shirin Najdi. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-470, pp.494-503, 2016, Technological Innovation for Cyber-Physical Systems. 〈10.1007/978-3-319-31165-4_46〉
https://hal.inria.fr/hal-01438276
Contributeur : Hal Ifip
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R. Laia, H. Pousinho, R. Melício, V. Mendes. Optimal Bidding Strategies of Wind-Thermal Power Producers. Luis M. Camarinha-Matos; António J. Falcão; Nazanin Vafaei; Shirin Najdi. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-470, pp.494-503, 2016, Technological Innovation for Cyber-Physical Systems. 〈10.1007/978-3-319-31165-4_46〉. 〈hal-01438276〉
