A. Azze, G. D’Amico, B. D'Auria, B. D'Auria, S. Vergine
In this talk, we introduce a novel methodology to simulate the discounted penalties incurred by wind farm operators for violating ramp-rate limitations. Our approach models a wind turbine connected to a battery system, which dynamically stores or supplies energy to mitigate ramp-up and ramp-down events. The battery's operational states — charging, discharging, and neutral — are represented as a semi-Markov process, while energy fluctuations within these states follow a modified Brownian bridge governed by three key parameters. We validate our framework on 10 years of real wind-power data and comparing real versus simulated results.
Keywords: Brownian Bridge, Semi-Markov processes, Wind, Energy, Battery, Penalties
Scheduled
Stochastic processes
June 11, 2025 3:30 PM
Sala VIP Jaume Morera i Galícia