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This paper proposes a two-stage distributionally robust model for the optimization of energy and reserve under uncertain wind power. The first-stage model considers a day-ahead market that determines the nominal generation and reserves before the realization of wind power uncertainty. The second-stage decisions are made in a realtime market, after the observation of uncertainty, so that the expected...
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