CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThis paper proposes a methodology for assessment to measure the impact of the inertial frequency response provided by battery energy storage systems (BESS) considering power system uncertainties. The proposed methodology is used to assess the impact of the BESS equipped with sensible frequency controller on the frequency behaviour of the system after a system frequency disturbance considering the variability coming from power system uncertainties. The proposed meteorology is tested in an illustrative power system considering the integration of a grid-scale BESS equipped with inertial frequency response controller, the uncertainty of the power system is simulated by the variability of the power demand. Monte Carlo simulations and time-domain simulations, using DIgSILENT® PowerFactory™ are combined in the implementation of the proposed methodology. Simulation results demonstrate the suitability of the proposed approach to obtain probabilistic distribution functions (PDF) of the main system frequency response.
Scheda prodotto non validato
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
| Titolo: | Inertial frequency response provided by battery energy storage systems: Probabilistic assessment |
| Autori: | |
| Data di pubblicazione: | 2017 |
| Abstract: | This paper proposes a methodology for assessment to measure the impact of the inertial frequency response provided by battery energy storage systems (BESS) considering power system uncertainties. The proposed methodology is used to assess the impact of the BESS equipped with sensible frequency controller on the frequency behaviour of the system after a system frequency disturbance considering the variability coming from power system uncertainties. The proposed meteorology is tested in an illustrative power system considering the integration of a grid-scale BESS equipped with inertial frequency response controller, the uncertainty of the power system is simulated by the variability of the power demand. Monte Carlo simulations and time-domain simulations, using DIgSILENT® PowerFactory™ are combined in the implementation of the proposed methodology. Simulation results demonstrate the suitability of the proposed approach to obtain probabilistic distribution functions (PDF) of the main system frequency response. |
| Handle: | http://hdl.handle.net/11567/890669 |
| ISBN: | 978-150904682-9 |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | |
|---|---|---|---|
| Bonfiglio_et_al_ICCEP_2017_published_version.pdf | Documento in Post-print | Administrator Richiedi una copia |
Copyright © 2020