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Novel Modular Multilevel Converter Against dc faults for HVdc Applications

CSEE Journal of Power and Energy Systems 2017年第2期3卷 140-149页

作者： Xiaofeng Yang Yao Xue Bowei Chen Zhiqin Lin Trillion Q.Zheng Yan Li School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijing 100192China

In view of the dc fault current isolation deficiency for the conventional half-bridge sub-module(HBSM)based modular multilevel converter(MMC),this paper presents an improved MMC *** quasi reverse blocking submodules(QRBSMs)and current limit modules(CLMs)are employed to improve the dc fault handling capability for HVdc *** paper analyzes such a new converter configuration and operation *** the dc pole-to-pole short circuit fault is taken into consideration for further study,as well as the fault current blocking mechanism and quantitative relationship between system electrical stress and key *** validate the feasibility of the proposed topology and fault protection theory,extensive simulation results are *** is concluded that the QRB-MMC can effectively block the fault current under dc fault *** addition,CLMs play an important role in further accelerating fault current ***,QRB-MMC employs the original control and modulation strategies under normal operation conditions;thus,it further reduces the complexity of industry design.

关键词： Current limit module dc faults HVdc transmission modular multilevel converter quasi reverse blocking sub-module

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A simple decision tree-based disturbance monitoring system for VSC-based HVdc transmission link integrating a DFIG wind farm

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Protection and Control of Modern Power Systems 2022年第1期7卷 363-381页

作者： Rajesh Babu Damala Rajesh Kumar Patnaik Ashish Ranjan Dash Department of EEE Centurion University of Technology and ManagementParalakhemundiOdishaIndia&GMR Institute of TechnologyRajamAndhrapradeshIndia Department of EEE GMR Institute of TechnologyRajamSrikakulamAndhra PradeshIndia Department of EEE Centurion University of Technology and ManagementParalakhemundiOdishaIndia

Fault detection and classification is a key challenge for the protection of High Voltage dc(HVdc)transmission *** this paper,the Teager-Kaiser Energy Operator(TKEO)algorithm associated with a decision tree-based fault classi-fier is proposed to detect and classify various dc *** Change Identification Filter is applied to the average and differential current components,to detect the first instant of fault occurrence(above threshold)and register a Change Identified Point(CIP).Further,if a CIP is registered for a positive or negative line,only three samples of currents(i.e.,CIP and each side of CIP)are sent to the proposed TKEO algorithm,which produces their respective 8 indices through which the,fault can be detected along with its *** new approach enables quicker detection allowing utility grids to be restored as soon as *** novel approach also reduces computing complexity and the time required to identify faults with *** importance and accuracy of the proposed scheme are also thor-oughly tested and compared with other methods for various faults on HVdc transmission lines.

关键词： Change Identification Filter Differential current dc faults Simple Decision Tree Fault classifier HVdc transmission link Renewable Energy TKEO algorithm

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