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Distributed Two-stage Network Topology Processor for HVDC Grid Operation
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.ORCID-id: 0000-0003-3946-7655
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: 0000-0003-3014-5609
2017 (engelsk)Inngår i: 2017 IEEE Manchester PowerTech, Powertech 2017, IEEE, 2017, artikkel-id 7980841Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents the results of an analysis of distributed two-stage coordination of network topology processor for HVDC grids. In the first stage of the two-stage processor, the substation topology is analyzed locally using an automated graph-based algorithm. Thereafter, a distributed algorithm is proposed to used the neighboring information to realize the grid connectivity. For distributed islanding detection, the connectivity problem is formulated as a set of linear equations and solved iteratively using successive-over-relaxation method. The performance of the proposed methods versus conventional one-stage method has been tested in an islanding scenario for a 5-terminal HVDC grid.

sted, utgiver, år, opplag, sider
IEEE, 2017. artikkel-id 7980841
Emneord [en]
distributed coordination, HVDC grid, topology processor
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-202752DOI: 10.1109/PTC.2017.7980841ISI: 000411142500054Scopus ID: 2-s2.0-85034774933ISBN: 9781509042371 (tryckt)OAI: oai:DiVA.org:kth-202752DiVA, id: diva2:1078538
Konferanse
12th IEEE PES PowerTech Conference, Towards and Beyond Sustainable Energy Systems, juni 18-22, Manchester, UK
Forskningsfinansiär
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Merknad

QC 20170627

Tilgjengelig fra: 2017-03-05 Laget: 2017-03-05 Sist oppdatert: 2018-02-26bibliografisk kontrollert
Inngår i avhandling
1. Distributed Control of HVDC Transmission Grids
Åpne denne publikasjonen i ny fane eller vindu >>Distributed Control of HVDC Transmission Grids
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Recent issues such as priority access of renewable resources recommended by European energy directives and increase the electricity trading among countries lead to new requirements on the operation and expansion of transmission grids. Since AC grid expansions are limited by legislative issues and long distance transmission capacity, there is a considerable attention drawn to application of HVDC transmission grids on top of, or in complement to, existing AC power systems. The secure operation of HVDC grids requires a hierarchical control system. In HVDC grids, the primary control action to deal with power or DC voltage deviations is communication-free and local. In addition to primary control, the higher supervisory control actions are needed to guarantee the optimal operation of HVDC grids. However, the implementation of supervisory control functions is linked to the arrangement of system operators; i.e. an individual HVDC operator (central structure) or sharing tasks among AC system operators (distributed structure).

This thesis presents distributed control of an HVDC grid. To this end, three possible supervisory functions are investigated; coordination of power injection set-points, DC slack bus selection and network topology identification. In this thesis, all three functions are first studied for the central structure. For the distributed solution, two algorithms based on Alternating Direction Method of Multipliers (ADMM) and Auxiliary Problem Principle (APP) are adopted to solve the coordination of power injection. For distributed selection of DC slack bus, the choice of parameters for quantitative ranking of converters is important. These parameters should be calculated based on local measurements if distributed decision is desired. To this end, the short circuit capacity of connected AC grid and power margin of converters are considered. To estimate the short circuit capacity as one of the required selection parameters, the result shows that the recursive least square algorithm can be very efficiently used. Besides, it is possible to intelligently use a naturally occurring droop response in HVDC grids as a local measurement for this estimation algorithm. Regarding the network topology, a two-stage distributed algorithm is introduced to use the abstract information about the neighbouring substation topology to determine the grid connectivity.

sted, utgiver, år, opplag, sider
KTH Royal Institute of Technology, 2017. s. 51
Serie
TRITA-EE, ISSN 1653-5146 ; 2017:018
Emneord
co-simulation, cyber-physical system, DC slack bus, distributed control, HVDC grids, power injection, topology processor, wind farms
HSV kategori
Forskningsprogram
Elektro- och systemteknik
Identifikatorer
urn:nbn:se:kth:diva-202753 (URN)978-91-7729-310-1 (ISBN)
Disputas
2017-04-10, F3, Lindstedtsvägen 26 - KTH campus, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20170306

Tilgjengelig fra: 2017-03-06 Laget: 2017-03-05 Sist oppdatert: 2017-03-10bibliografisk kontrollert

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