Coherence in synchronizing power networks with distributed integral control
(2018) 56th IEEE Annual Conference on Decision and Control, CDC 2017 In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 2018-January. p.6327-6333- 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... (More)
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.
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- author
- Andreasson, Martin ; Tegling, Emma LU ; Sandberg, Henrik LU and Johansson, Karl H. LU
- publishing date
- 2018-01-18
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
- series title
- 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
- volume
- 2018-January
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 56th IEEE Annual Conference on Decision and Control, CDC 2017
- conference location
- Melbourne, Australia
- conference dates
- 2017-12-12 - 2017-12-15
- external identifiers
-
- scopus:85046157863
- ISBN
- 9781509028733
- DOI
- 10.1109/CDC.2017.8264613
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2017 IEEE.
- id
- 1a0f0f88-6173-404b-9486-7499f956ebd4
- date added to LUP
- 2021-11-24 09:54:39
- date last changed
- 2022-04-27 06:05:43
@inproceedings{1a0f0f88-6173-404b-9486-7499f956ebd4, abstract = {{<p>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.</p>}}, author = {{Andreasson, Martin and Tegling, Emma and Sandberg, Henrik and Johansson, Karl H.}}, booktitle = {{2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017}}, isbn = {{9781509028733}}, language = {{eng}}, month = {{01}}, pages = {{6327--6333}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017}}, title = {{Coherence in synchronizing power networks with distributed integral control}}, url = {{http://dx.doi.org/10.1109/CDC.2017.8264613}}, doi = {{10.1109/CDC.2017.8264613}}, volume = {{2018-January}}, year = {{2018}}, }