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Calibration of Operating Reserve Demand Curves using Monte Carlo Simulations

Jacques Cartuyvels and Anthony Papavasiliou
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Jacques Cartuyvels: Université catholique de Louvain, LIDAM/CORE, Belgium
Anthony Papavasiliou: Université catholique de Louvain, LIDAM/CORE, Belgium

No 2022009, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: Scarcity pricing has been proposed to enhance investment in flexible assets through the use of an adder on real-time energy and the application of that adder on real-time reserve. We implement a Monte-Carlo simulator for obtaining statistically confident estimates of scarcity pricing adders which is motivated from the implementation of this mechanism in Belgium. The analysis is based on a multi-level, multi-horizon simulation of day-ahead and real-time operations in the Belgian market. The methodology relies on k-means clustering for selecting a set of representative day-ahead forecasts, followed by the generation of synthetic real-time load scenarios for simulating real-time operations.

Keywords: Operating reserve demand curve; scarcity pricing; unit commitment; k-means (search for similar items in EconPapers)
Pages: 5
Date: 2022-02-01
New Economics Papers: this item is included in nep-cmp
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Citations: View citations in EconPapers (1)

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