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Coherence in synchronizing power networks with distributed integral control

Andreasson, Martin ; Tegling, Emma LU ; Sandberg, Henrik LU and Johansson, Karl H. LU (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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Please use this url to cite or link to this publication:
author
; ; and
publishing date
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}},
}