The volatility of the wind generation reduces the profits of wind generators as a consequence of the differences between the real wind generation and the wind power offered in the electricity markets. This paper presents two models: i) wind and generic storage system offering without a physical connection and ii) wind and generic storage system offering with a physical connection to mitigate the wind positive imbalances (excess of the wind generation with respect to the wind power offered). The objective of the models is to maximize the expected profit of selling the energy in the day-ahead market, where the energy can come from the wind power and the storage system. Moreover, the wind power imbalance is penalized in the balancing market reducing the profits. The problems are modeled using stochastic mixed integer linear programming. A case study of a week (168 hours) is simulated to evaluate the models. After the simulations, the results are discussed and a summary of the main conclusions are presented.
机构:
Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USAWashington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
Pickard, William F.
Abbott, Derek
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机构:
GEC Hirst Res Labs, London, England
Austek Microsyst, Technology Pk, SA, Australia
Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, AustraliaWashington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
机构:
Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USAWashington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
Pickard, William F.
Abbott, Derek
论文数: 0引用数: 0
h-index: 0
机构:
GEC Hirst Res Labs, London, England
Austek Microsyst, Technology Pk, SA, Australia
Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, AustraliaWashington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA