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Centralized Versus Distributed State Estimation for Hybrid AC/HVDC Grid
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.ORCID-id: 0000-0003-3946-7655
Vise andre og tillknytning
2017 (engelsk)Inngår i: IEEE International Conference on Innovative Smart Grid Technologies, (ISGT Europe 2017), IEEE conference proceedings, 2017, s. 2222-2227Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The need of transmission grid expansion has drawn the attention towards high voltage DC (HVDC) as a solution.This brings new challenges for power system control application such as state estimation that are originally designed for AC power system. This papers studies centralized and distributed architecturesfor hybrid AC/HVDC state estimator (SE). Furthermore, the benefit of having bad data detection (BDD) and deploying phasor measurement units (PMU) in the state estimation are investigated. The method used for the SE is the weighted least square (WLS) method. The SE will be developed based on the power grid model ’The CIGRE B4 DC Grid Test System’. Theresults of the tests show that the addition of BDD and PMU improved the error of the estimated values. Furthermore the distributed architecture offered slightly less accurate AC values than the centralized.

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2017. s. 2222-2227
Emneord [en]
HVDC transmission, phase measurement units, state estimation, voltage source converter, weighted least square
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-209842DOI: 10.1109/ISGTEurope.2017.8260167ISI: 000428016500076Scopus ID: 2-s2.0-85046257163OAI: oai:DiVA.org:kth-209842DiVA, id: diva2:1114919
Konferanse
IEEE International Conference on Innovative Smart Grid Technologies, (ISGT Europe 2017), 26 Sep - 29 Sep 2017, Torino, Italy
Forskningsfinansiär
Knut and Alice Wallenberg FoundationSwedish Research Council
Merknad

QC 20171002

Tilgjengelig fra: 2017-06-26 Laget: 2017-06-26 Sist oppdatert: 2018-12-05bibliografisk kontrollert

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