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Coherence in Synchronizing Power Networks with Distributed Integral Control
KTH, Skolan för industriell teknik och management (ITM). KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
KTH, Skolan för industriell teknik och management (ITM). KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0001-8975-1801
KTH, Skolan för industriell teknik och management (ITM). KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0003-1835-2963
KTH, Skolan för industriell teknik och management (ITM). KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0001-9940-5929
2017 (engelsk)Inngår i: 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, IEEE , 2017, s. 6683-6688Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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 internodal alignment of the integral states affects performance. Our results are demonstrated through simulations of the Nordic power grid.

sted, utgiver, år, opplag, sider
IEEE , 2017. s. 6683-6688
Serie
IEEE Conference on Decision and Control, ISSN 0743-1546
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-223842ISI: 000424696906009Scopus ID: 2-s2.0-85046157863ISBN: 978-1-5090-2873-3 (tryckt)OAI: oai:DiVA.org:kth-223842DiVA, id: diva2:1188006
Konferanse
IEEE 56th Annual Conference on Decision and Control (CDC), DEC 12-15, 2017, Melbourne, Australia
Forskningsfinansiär
Knut and Alice Wallenberg FoundationSwedish Foundation for Strategic Research Swedish Research Council, 2014-6282; 2013-5523
Merknad

QC 20180306

Tilgjengelig fra: 2018-03-06 Laget: 2018-03-06 Sist oppdatert: 2018-12-05bibliografisk kontrollert

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Sjödin, EmmaSandberg, HenrikJohansson, Karl H.

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Totalt: 211 treff
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