Modelling a storage system of a wind farm with a ramp-rate limitation: a semi-Markov modulated Brownian bridge approach

Fuente: arXiv
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Auteurs principaux: Azze, Abel, D'Amico, Guglielmo, D'Auria, Bernardo, Vergine, Salvatore
Format: Preprint
Publié: 2025
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author Azze, Abel
D'Amico, Guglielmo
D'Auria, Bernardo
Vergine, Salvatore
author_facet Azze, Abel
D'Amico, Guglielmo
D'Auria, Bernardo
Vergine, Salvatore
contents We propose a new methodology to simulate the discounted penalty applied to a wind-farm operator by violating ramp-rate limitation policies. It is assumed that the operator manages a wind turbine plugged into a battery, which either provides or stores energy on demand to avoid ramp-up and ramp-down events. The battery stages, namely charging, discharging, or neutral, are modeled as a semi-Markov process. During each charging/discharging period, the energy stored/supplied is assumed to follow a modified Brownian bridge that depends on three parameters. We prove the validity of our methodology by testing the model on 10 years of real wind-power data and comparing real versus simulated results.
format Preprint
id arxiv_https___arxiv_org_abs_2501_17464
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modelling a storage system of a wind farm with a ramp-rate limitation: a semi-Markov modulated Brownian bridge approach
Azze, Abel
D'Amico, Guglielmo
D'Auria, Bernardo
Vergine, Salvatore
Applications
60J70, 60K15
We propose a new methodology to simulate the discounted penalty applied to a wind-farm operator by violating ramp-rate limitation policies. It is assumed that the operator manages a wind turbine plugged into a battery, which either provides or stores energy on demand to avoid ramp-up and ramp-down events. The battery stages, namely charging, discharging, or neutral, are modeled as a semi-Markov process. During each charging/discharging period, the energy stored/supplied is assumed to follow a modified Brownian bridge that depends on three parameters. We prove the validity of our methodology by testing the model on 10 years of real wind-power data and comparing real versus simulated results.
title Modelling a storage system of a wind farm with a ramp-rate limitation: a semi-Markov modulated Brownian bridge approach
topic Applications
60J70, 60K15
url https://arxiv.org/abs/2501.17464