Transient-Voltage-Based Protection Scheme for DC Line Faults in the Multiterminal VSC-HVDC System

Liu, Jian; Tai, Nengling; Fan, Chunju

doi:10.1109/tpwrd.2016.2608986

Cited by 235 publications

(127 citation statements)

References 26 publications

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“…Many literatures have reported impressive experimental results of various machine learning algorithms with applications in oscillation detection, voltage stability, fault or transient detection and restoration, islanding detection and restoration, postevent analysis, etc. [80][81][82][83]. With the emergence of the Big Data analytics and smart grid technology, the above-mentioned monitoring and detection methods have been greatly improved, and an increasing number of novel approaches are being studied.…”

Section: Machine Learning Algorithmsmentioning

confidence: 99%

Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

et al. 2018

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Efficient and valuable strategies provided by large amount of available data are urgently needed for a sustainable electricity system that includes smart grid technologies and very complex power system situations. Big Data technologies including Big Data management and utilization based on increasingly collected data from every component of the power grid are crucial for the successful deployment and monitoring of the system. This paper reviews the key technologies of Big Data management and intelligent machine learning methods for complex power systems. Based on a comprehensive study of power system and Big Data, several challenges are summarized to unlock the potential of Big Data technology in the application of smart grid. This paper proposed a modified and optimized structure of the Big Data processing platform according to the power data sources and different structures. Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. The proposed framework comprises a data interface, a Big Data management, analytic engine as well as the applications, and display module. To fully investigate the proposed structure, three major applications are introduced: development of power grid topology and parallel computing using CIM files, high-efficiency load-shedding calculation, and power system transmission line tripping analysis using 3D visualization. The real-system cases demonstrate the effectiveness and great potential of the Big Data platform; therefore, data resources can achieve their full potential value for strategies and decision-making for smart grid. The proposed platform can provide a technical solution to the multidisciplinary cooperation of Big Data technology and smart grid monitoring.

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Section: Machine Learning Algorithmsmentioning

confidence: 99%

Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

et al. 2018

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“…However, the detection accuracy is affected by the fault resistance. As the current limiting inductor increases the electrical distance [16], reference [17] proposes the ratio of transient voltage (ROTV) detection method, in which the division of the transient voltages at converter and line side serves as the fault criterion. But a double-ended pilot method requiring the information at both ends of the DC line need to be implemented as a backup protection to guarantee selectivity, which prolongs the detection time.…”

Section: Introductionmentioning

confidence: 99%

A Transient Voltage-Based DC Fault Line Protection Scheme for MMC-Based DC Grid Embedding DC Breakers

Xiang

Yang

et al. 2019

IEEE Trans. Power Delivery

205

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Abstract-Fast and reliable DC fault detection is one of the main challenges for modular multilevel converter (MMC) based DC grid with DC circuit breakers (DCCBs). This paper extracts the high frequency components of transient voltages by wavelet transform and proposes a fault identification method based on the difference of transient voltages to identify the faulted lines for DC grids using overhead lines. Meanwhile, a faulted pole discrimination method based on the difference between the change of positive and negative pole voltages is presented. A line protection scheme including detection activation, fault identification, faulted pole discrimination and post-fault re-closing is designed. Using only the local measurements, the scheme can realize the protection of the whole line without communication and has the capability of fault resistance endurance and anti-disturbance. The proposed method is tested with a four-terminal MMC based DC grid in PSCAD/EMTDC. The selection methods of threshold values are presented and the impact of DCCB operation on the reliability of DC fault protection is analysed. Simulation results verify the fast detection and reliability of the designed DC line protection scheme. Index Terms-DC fault protection, fault identification, transient voltage, hybrid DC breaker, modular multilevel converter (MMC), post-fault re-closing.This paper is a post-print of a paper submitted to and accepted for publication in IEEE Transaction on Power Delivery and is subject to Institution of Electrical and Electronic Engineering

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“…The fact that voltage is different, depending on the faulted line, can assist towards the implementation of a discriminative protection system. This is achieved by utilising under-voltage and voltage derivative criteria [2][3][4] or ratio of transient voltages [5].…”

Section: Introductionmentioning

confidence: 99%

Centralised busbar differential and wavelet‐based line protection system for multi‐terminal direct current grids, with practical IEC‐61869‐compliant measurements

Tzelepis¹,

Blair²,

Rousis³

et al. 2018

IET Generation, Transmission & Distribution

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Transient-Voltage-Based Protection Scheme for DC Line Faults in the Multiterminal VSC-HVDC System

Cited by 235 publications

References 26 publications

Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

A Transient Voltage-Based DC Fault Line Protection Scheme for MMC-Based DC Grid Embedding DC Breakers

Centralised busbar differential and wavelet‐based line protection system for multi‐terminal direct current grids, with practical IEC‐61869‐compliant measurements

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