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• W2969878047 abstract "This paper presents a two-stage distributionally robust model to derive optimal bidding strategies for an aggregated wind power plant (WPP), that participates as a price-maker in the day-ahead market, and a deviator in the balancing market. The market power is realized by using a bi-level model, which is then transformed into a mixed-integer linear programming model using the Karush-Kuhn-Tucker (KKT) optimality conditions and strong duality theory. The uncertainty in wind generation output is characterized by an ambiguity set that defines a family of distributions. The optimal decision is robust to the expectation over the worst-case distribution. With a case study based on a modified Swiss system, we verify the effectiveness of the proposed distributionally robust optimization model and compare its performance to that of robust and stochastic optimization models." @default.
• W2969878047 created "2019-08-29" @default.
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• W2969878047 date "2019-12-01" @default.
• W2969878047 modified "2023-09-26" @default.
• W2969878047 title "A distributionally robust bidding strategy for a wind power plant" @default.
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• W2969878047 doi "https://doi.org/10.1016/j.epsr.2019.105986" @default.
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