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Selection of DC Voltage Controlling Station in an HVDC Grid
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0003-3946-7655
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
HVDC, ABB Sweden, Ludvika.
HVDC, ABB Sweden, Ludvika.
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2016 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 144, 224-232 p.Article in journal (Refereed) Published
Abstract [en]

This paper proposes a real-time quantitative evaluation of HVDC converters’ in an HVDC grid to select the suitable DC slack converter. This real-time evaluation considers the strength of connecting AC grid and the converter's on-line capacity margin as selection metrics. The strength of AC grid is evaluated in real-time by the estimation of grid short circuit capacity using recursive lease square algorithm. Given these selection metrics, the credibility of HVDC stations in controlling the DC voltage can be offered to the system operator in real-time for further operational decisions. This paper also studies the practical aspect of the estimation algorithm regarding selection of the operating points. As major contribution, it suggests to intelligently use a naturally occurring droop response in HVDC grids as a second operating point in the estimation algorithm to calculate the short circuit capacity. The method has been tested through set of scenarios using a real-time co-simulation platform. This platform includes real-time power system simulator to model AC/DC grid, industrial HVDC controllers and corresponding ICT systems. The results show that the proper selection of DC slack station can improve the AC system response and DC voltage drops during disturbances.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 144, 224-232 p.
Keyword [en]
HVDC grid, Short circuit capacity, Slack bus selection, Voltage control
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-180715DOI: 10.1016/j.epsr.2016.12.008ISI: 000392889700024Scopus ID: 2-s2.0-85006978465OAI: oai:DiVA.org:kth-180715DiVA: diva2:896374
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20160901

Available from: 2016-01-21 Created: 2016-01-21 Last updated: 2017-03-05Bibliographically approved
In thesis
1. Distributed Control of HVDC Transmission Grids
Open this publication in new window or tab >>Distributed Control of HVDC Transmission Grids
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. 51 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2017:018
Keyword
co-simulation, cyber-physical system, DC slack bus, distributed control, HVDC grids, power injection, topology processor, wind farms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-202753 (URN)978-91-7729-310-1 (ISBN)
Public defence
2017-04-10, F3, Lindstedtsvägen 26 - KTH campus, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170306

Available from: 2017-03-06 Created: 2017-03-05 Last updated: 2017-03-10Bibliographically approved

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