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Title: | A Robust Virtual Inertia Control of Battery Storage System to Enhance Transient Stability of Grid System including Wind Farms |
Authors: | Sultana, Rima Hazari, Md. Rifat Mannan, Mohammad Abdul Tamura, Junji |
Keywords: | Frequency stability battery storage system PMSG SCIG power system power system |
Issue Date: | Dec-2020 |
Publisher: | American International University-Bangladesh (AIUB) |
Citation: | Rima Sultana, Md. Rifat Hazari, Mohammad Abdul Mannan and Junji Tamura, “A Robust Virtual Inertia Control of Battery Storage System to Enhance Transient Stability of Grid System including Wind Farms”, AIUB Journal of Science and Engineering (AJSE), vol. 19, no. 3, pp. 135 - 142, Dec. 2020. |
Abstract: | With the rising penetration of modern converter-based wind farm (WF) into the existing grid system deteriorates system inertia due to reduction of the capacity of conventional power stations which may lead to the frequency instability as well as power system transient instability. In order to solve this concern, this paper presents a robust virtual inertia control approach for battery storage system (BSS) to enhance the frequency stability of the grid system after the generation failure owing to severe grid disruption. The control approach integrated inertial controller based on the rate of change of frequency (ROCOF) and droop controller according to frequency deviation. The impacts of the proposed virtual inertia controller (VIC) is confirmed through simulation analysis on a multi-machine power system with conventional power stations, permanent magnet synchronous generator (PMSG) with full converter based WF and squirrel cage induction generator (SCIG) based WF. Simulation study clearly demonstrates that by adopting both strategies, the BSS can effectively minimize the frequency nadir and steady-state error. |
URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/2002 |
ISSN: | 1608 – 3679 |
Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
File | Description | Size | Format | |
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74J_Dr Rifat_2021_AJSE_8.pdf | 181.56 kB | Adobe PDF | View/Open |
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