Coherence in synchronizing power networks with distributed integral control

Martin Andreasson, Emma Tegling, Henrik Sandberg, Karl H. Johansson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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 languageEnglish
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages6327-6333
Number of pages7
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 2018 Jan 18
Externally publishedYes
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: 2017 Dec 122017 Dec 15
Conference number: 56
http://cdc2017.ieeecss.org/

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Conference

Conference56th IEEE Annual Conference on Decision and Control, CDC 2017
Abbreviated titleCDC 2017
Country/TerritoryAustralia
CityMelbourne
Period2017/12/122017/12/15
Internet address

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Subject classification (UKÄ)

  • Control Engineering

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