Rolland, Lionel (2024) Stochastic dynamic programming for the management of a battery on short term electricity markets PFE - Project Graduation, ENSTA.
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Abstract
During the last decade, on one hand the costs of batteries dropped significantly, and on the other hand flexibility capacities (electricity storage systems) on the european electricity market became more important, mostly due to the increasing share of intermittent renewable energy sources like solar and wind power in the european energy mix. Our work aims to quantify the benefit of storage flexibilities such as a battery on several short-term electricity markets. We especially focus on two different markets, the intraday market (ID) and the activation market of the automatic Frequency Restoration Reserve (aFRR), also known as the secondary reserve. We propose algorithms to optimize the management of a small battery (≤ 5 MWh) on these markets. In this report, we first present the modeling of the problem, then we show some theoretical results and numerical simulations.
Item Type: | Thesis (PFE - Project Graduation) |
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Subjects: | Mathematics and Applications |
ID Code: | 10415 |
Deposited By: | Lionel Rolland |
Deposited On: | 08 oct. 2024 17:29 |
Dernière modification: | 08 oct. 2024 17:29 |
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