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- W2786807564 abstract "This paper proposes a pricing scheme for the dayahead market in power systems with a large percentage of renewable stochastic production. To clear the day-ahead market, instead of a simplistic deterministic model, we use a two-stage stochastic programming model that embodies a prognosis of future operating conditions. Non-convexities due to start-up costs and the on/off status of generators and their minimum power outputs are properly taken into account. Our goal is to obtain uniform day-ahead clearing prices that deviate in the least possible manner from marginal prices and that allow producers to recover their costs without uplifts. The proposed methodology is illustrated using a simple example and a realistic case study." @default.
- W2786807564 created "2018-02-23" @default.
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- W2786807564 date "2017-07-01" @default.
- W2786807564 modified "2023-09-23" @default.
- W2786807564 title "Pricing electricity through a stochastic non-convex market-clearing model" @default.
- W2786807564 doi "https://doi.org/10.1109/pesgm.2017.8274072" @default.
- W2786807564 hasPublicationYear "2017" @default.
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