This research evaluates data centers as an emergency source of virtual inertia and fast frequency response, using PMUs to detect disturbances. The performance of the proposed method is validated using DIgSILENT PowerFactory simulation, calibrated using a real frequency event that occurred in the Irish power system. Wind generation is significant in the Irish system and significantly higher levels are required to reach renewable energy targets. Wind power, like photovoltaics, are mediated by power electronics that do not inherently respond to frequency variation. This research addresses problems with the drop in system inertia and the availability of primary frequency response on systems with high non-synchronous infeed. Demand response has the potential to replace these services. Typically, a large number of domestic, or light industrial, loads are considered for such services, but these present challenges in terms of monitoring and control. This research focuses on the potential of large load data centers that incorporate uninterruptable power supplies as standard, therefore a demand response does not have a direct effect on operation.
|Title of host publication||2020 2nd International Conference on Smart Power and Internet Energy Systems (SPIES 2020): Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 15 Sep 2020|
|Event||2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand|
Duration: 15 Sep 2020 → 18 Sep 2020
|Name||2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020|
|Conference||2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020|
|Period||15/09/2020 → 18/09/2020|
Bibliographical noteFunding Information:
This work is part of the Collaborative REsearch of Decentralization, ElectrificatioN, Communications and Economics (CREDENCE) project, which is funded by a US-Ireland Department for the Economy (DfE), Science Foundation Ireland (SFI) and a US National Science Foundation (NSF) award under the Research and Development Partnership Program (Centre to Centre) award (grant number USI 110).
© 2020 IEEE.
- Data center
- Demand response
- Dynamic simulation
- Fast frequency response service
- Primary frequency control
- Wind power generation
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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Al Kez, D., Jul 2022
Student thesis: Doctoral Thesis › Doctor of PhilosophyFile