Transient-based fault identication algorithm using parametric models for meshed HVDC grids

Autor: Michel Kieffer, Paul Verrax, Bertrand Raison, Alberto Bertinato
Přispěvatelé: SuperGrid Institute SAS, Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Génie Electrique de Grenoble (G2ELab ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Multi-terminal
Computer science
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
Hardware_PERFORMANCEANDRELIABILITY
Fault (power engineering)
fault localization
Fault detection and isolation
law.invention
Computer Science::Hardware Architecture
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Relay
law
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Computer Science::Operating Systems
Computer Science::Distributed
Parallel
and Cluster Computing
Parametric statistics
HVDC
020208 electrical & electronic engineering
[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
Grid
protection
fault detection
parameter identication
13. Climate action
Line (geometry)
Parametric model
Transient (oscillation)
Algorithm
Zdroj: Electric Power Systems Research
Electric Power Systems Research, Elsevier, 2020, 185, pp.106387. ⟨10.1016/j.epsr.2020.106387⟩
ISSN: 0378-7796
DOI: 10.1016/j.epsr.2020.106387⟩
Popis: This paper addresses the problem of fault identification in meshed HVDC grids once an abnormal behavior has been detected. A parametric single-ended fault identification algorithm is proposed. The method is able to determine whether the line monitored by a relay is faulty or not using a very short observation window. When a fault is suspected, the proposed algorithm estimates the fault distance and impedance using a parametric model describing the voltage and current evolution just after the fault occurrence. This model combines phenomenological (knowledge-based) and behavioral (black-box) parts to represent the fault propagation and to account for ground effects and various losses. The identification of the faulty line is then based on the size of the confidence region of the obtained estimate. The performance of the algorithm for a three-node meshed grid is studied using Electro-Magnetic Transient (EMT) simulations. On the considered grid model, the current and voltage need to be observed during less than 0.2 ms to get a sufficiently accurate estimate of the fault characteristics and identify consistently the faulty line.
Databáze: OpenAIRE
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