Abstract
This paper presents a dynamic data-driven state of charge (SoC) management strategy for a battery energy storage system (BESS) providing fast frequency response (FFR) services. The SoC limits are continuously updated based on an expected frequency profile which is derived from a statistical analysis of real frequency data for three different power systems, namely the Continental European (CE), Great Britain (GB) and Dominican Republic (DR) power systems, spanning the period 2014-2017. Simulations presented indicate that the control scheme developed can successfully maintain the SoC of the BESS inside the desired limits while crucially providing FFR services to the grid.
Original language | English |
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Title of host publication | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
Publisher | IEEE |
Number of pages | 5 |
Volume | 2019-August |
ISBN (Electronic) | 9781728119816 |
DOIs | |
Publication status | Published - 1 Aug 2019 |
Event | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019 http://www.pes-gm.org/2019/ |
Conference
Conference | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
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Abbreviated title | PESGM 2019 |
Country/Territory | United States |
City | Atlanta |
Period | 4/08/19 → 8/08/19 |
Internet address |
Keywords
- BESS
- State of Charge
- System Frequency Response