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Signal Processing for Fast Fault Detection in HVDC Grids

作     者:Willem Leterme Mike Barnes Dirk Van Hertem 

作者机构:EnergyVille/Electa research groupElectrical Engineering Department ESATKU LeuvenBelgium Power Conversion Research GroupSchool of Electrical and Electronic EngineeringUniversity of ManchesterManchester M139PLUK 

出 版 物:《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报(英文))

年 卷 期:2018年第4卷第4期

页      面:469-478页

核心收录:

学科分类:0820[工学-石油与天然气工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 

基  金:This work was supported by a research grant of the Research Foundation-Flanders(FWO). 

主  题:HVDC matched filter measurement power system faults power system transients 

摘      要:For multiterminal or meshed Voltage Source Converter(VSC)High-voltage Direct Current(HVDC)systems,high speed protection against DC faults is essential,as power electronic components cannot withstand the rapidly increasing fault currents which would otherwise result.Recently proposed DC fault detection methods were developed based on time domain simulations in EMT-type software,which requires considerable modeling and computational efforts and results in methods specifically designed for the HVDC grid under study.To simplify the initial design of DC fault detection methods,this paper proposes general guidelines based on fundamental theory and offers a reduced modeling approach.Furthermore,the impact of non-ideal measurements is investigated and a method to choose the filters that optimally discriminate these fault signals from noise,is proposed.The approach was evaluated in a case study on fault detection in a realistically dimensioned HVDC grid.The paper shows that the initial design of fast fault detection methods can be based on the relatively simple proposed guidelines and reduced models.The paper furthermore shows that a sufficiently high sampling frequency and a filter matched to the fault signal enable fault detection within hundreds of microseconds and discrimination of DC faults from transients not related to DC faults.

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