Abstract
We consider frequency control of synchronous generator networks and study transient performance under both primary and secondary frequency control. We model random step changes in power loads and evaluate performance in terms of expected deviations from a synchronous frequency over the synchronization transient; what can be thought of as lack of frequency coherence. We compare a standard droop control strategy to two secondary proportional integral (PI) controllers: centralized averaging PI control (CAPI) and distributed averaging PI control (DAPI). We show that the performance of a power system with DAPI control is always superior to that of a CAPI controlled system, which in turn has the same transient performance as standard droop control. Furthermore, for a large class of network graphs, performance scales unfavorably with network size with CAPI and droop control, which is not the case with DAPI control. We discuss optimal tuning of the DAPI controller and describe how inter-nodal alignment of the integral states affects performance. Our results are demonstrated through simulations of the Nordic power grid.
Original language | English |
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Title of host publication | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 6327-6333 |
Number of pages | 7 |
ISBN (Electronic) | 9781509028733 |
DOIs | |
Publication status | Published - 2018 Jan 18 |
Externally published | Yes |
Event | 56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia Duration: 2017 Dec 12 → 2017 Dec 15 Conference number: 56 http://cdc2017.ieeecss.org/ |
Publication series
Name | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
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Volume | 2018-January |
Conference
Conference | 56th IEEE Annual Conference on Decision and Control, CDC 2017 |
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Abbreviated title | CDC 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 2017/12/12 → 2017/12/15 |
Internet address |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Subject classification (UKÄ)
- Control Engineering