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Performance and scalability of voltage controllers in multi-terminal HVDC networks
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2017 (English)In: Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 3029-3034, article id 7963412Conference paper (Refereed)
Abstract [en]

In this paper, we compare the transient performance of a multi-terminal high-voltage DC (MTDC) grid equipped with a slack bus for voltage control to that of two distributed control schemes: A standard droop controller and a distributed averaging proportional-integral (DAPI) controller. We evaluate performance in terms of an ℋ2 metric that quantifies expected deviations from nominal voltages, and show that the transient performance of a droop or DAPI controlled MTDC grid is always superior to that of an MTDC grid with a slack bus. In particular, by studying systems built up over lattice networks, we show that the ℋ2 norm of a slack bus controlled system may scale unboundedly with network size, while the norm remains uniformly bounded with droop or DAPI control. We simulate the control strategies on radial MTDC networks to demonstrate that the transient performance for the slack bus controlled system deteriorates significantly as the network grows, which is not the case with the distributed control strategies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 3029-3034, article id 7963412
Series
Proceedings of the American Control Conference, ISSN 0743-1619
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-213213DOI: 10.23919/ACC.2017.7963412Scopus ID: 2-s2.0-85027030294ISBN: 9781509059928 OAI: oai:DiVA.org:kth-213213DiVA, id: diva2:1137806
Conference
2017 American Control Conference, ACC 2017, Sheraton Seattle Hotel, Seattle, United States, 24 May 2017 through 26 May 2017
Funder
Swedish Research Council, 2014-6282 and 2013-5523Knut and Alice Wallenberg FoundationSwedish Foundation for Strategic Research EU, European Research CouncilAvailable from: 2017-09-01 Created: 2017-09-01 Last updated: 2017-09-01Bibliographically approved

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