Abstract
This paper presents a co-simulation based approach to implement and validate advanced battery storage control modes in OpenDSS that replicate behavior of a utility scale vanadium red-ox flow battery (VRFB). Inverter-interfaced utiliy-scale battery storage systems (BSS) have modes of operation to facilitate multiple grid-support functions. In order to enable accurate understanding of the impacts from grid-support functions modes of operation it is required to develop validated models that replicates behavior of the actual control system. This paper presents the pseudo code for the implemented control schemes including peak shaving and capacity firming control modes. Additionally, this paper also provides insight on convergence sensitivity of the presented algorithms to related parameters. The results obtained from simulation studies will be compared against field operated utility-scale BSS measurements to verify the implemented algorithms.
Original language | American English |
---|---|
Number of pages | 5 |
DOIs | |
State | Published - Feb 2019 |
Event | 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 - Washington, United States Duration: 18 Feb 2019 → 21 Feb 2019 |
Conference
Conference | 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 |
---|---|
Country/Territory | United States |
City | Washington |
Period | 18/02/19 → 21/02/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
NREL Publication Number
- NREL/CP-5D00-71931
Keywords
- capacity firming
- field validation
- peak shaving
- red-ox flow battery