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Real-Time Estimation of AC-Grid Short Circuit Capacity for HVDC Control Application
KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.ORCID-id: 0000-0003-3946-7655
KTH, Skolan för elektro- och systemteknik (EES).
HVDC, ABB Sweden, Ludvika.
HVDC, ABB Sweden, Ludvika.
Vise andre og tillknytning
2016 (engelsk)Inngår i: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Being able to estimate the AC grid strength using Short Circuit Capacity (SCC) fromthe perspective of a connected HVDC station allows adjustment of converter control parameters orto select the converter’s operational control mode. The short circuit capacity can be calculated byestimation of the grid’s impedance and its equivalent voltage. This paper presents the operationaland practical challenges in real-time implementation of the grid estimation algorithms especiallyfor HVDC applications. This paper shows that the Recursive Least Square (RLS) algorithm can bevery efficiently used for the real-time estimation of SCC. This technique forms a regression prob-lem using algebraic complex equations with an objective to minimize the error between estimatedand measured parameters. The algorithm has been reformulated and simplified to make it non-complex without the use of matrices, in order to facilitate further implementation on an industrialreal-time controller. The performance of the real-time implementation has been evaluated usinga HIL platform. A sensitivity analysis has been also carriedout to study the impact of differentparameters and operational conditions on the performance of the estimation algorithm. Finally, theactual application of real-time SCC estimation for the HVDCsystems has been demonstrated.

sted, utgiver, år, opplag, sider
IET , 2016.
Emneord [en]
estimation, HVDC, real-time, recursive least square, short circuit capacity
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-180714DOI: 10.1049/iet-gtd.2016.0465OAI: oai:DiVA.org:kth-180714DiVA, id: diva2:896373
Forskningsfinansiär
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Merknad

QC 20160901

Tilgjengelig fra: 2016-01-21 Laget: 2016-01-21 Sist oppdatert: 2017-11-30bibliografisk 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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