Attilio Vittorio Vargiu
An advanced frequency-based energy management of hybrid energy storage systems for microgrids
PORRU, MARIO;SERPI, ALESSANDRO;SALIMBENI, ANDREA;DAMIANO, ALFONSO
2017-01-01
Abstract
An advanced Frequency-Based energy Management (FBM) suitable for Hybrid Energy Storage Systems (HESSs) in Microgrids (MGs) is presented in this paper. The HESS is made up of Batteries (B) and Supercapacitors (S) and it has to provide both peak shaving and power quality. A frequency-based power split criterion is introduced, namely the B power profile is synthesized through an appropriate low-pass filter, while S has to cope with sudden and fast power fluctuations. In addition, in order to enable a suitable peak shaving capability, an appropriate management algorithm is developed based on the forecasted MG power profile. As a result, suitable B power thresholds can be defined in accordance with both B power and energy constraints over a given time horizon. This can be adapted also in real-time in order to benefit from more accurate forecasting and B energy status. The effectiveness of the proposed FBM is proved by numerical simulations, which refer to the MG of the German island of Borkum.File | Dimensione | Formato | |
---|---|---|---|
P73#2017#IECON#FBM#IEEE_Paper.pdf Solo gestori archivio
Descrizione: Versione editoriale
Tipologia: versione editoriale
Dimensione 1.81 MB
Formato Adobe PDF
|
1.81 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
P73#2017#IECON#FBM#PostPrint.pdf Solo gestori archivio
Descrizione: Versione PostPrint
Tipologia: versione post-print
Dimensione 2.49 MB
Formato Adobe PDF
|
2.49 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
2017_Pub_UNICA_IECON_FBM_Post-Print_mod.pdf accesso aperto
Descrizione: Versione post-print open access
Tipologia: versione post-print
Dimensione 2.53 MB
Formato Adobe PDF
|
2.53 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.