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A simple decision tree-based disturbance monitoring system for VSC-based HVDC transmission link integrating a DFIG wind farm 被引量:2
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作者 rajesh babu damala rajesh Kumar Patnaik Ashish Ranjan Dash 《Protection and Control of Modern Power Systems》 2022年第1期363-381,共19页
Fault detection and classification is a key challenge for the protection of High Voltage DC(HVDC)transmission lines.In this paper,the Teager-Kaiser Energy Operator(TKEO)algorithm associated with a decision tree-based ... Fault detection and classification is a key challenge for the protection of High Voltage DC(HVDC)transmission lines.In 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 faults.The 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 classification.The new approach enables quicker detection allowing utility grids to be restored as soon as possible.This novel approach also reduces computing complexity and the time required to identify faults with classification.The importance and accuracy of the proposed scheme are also thor-oughly tested and compared with other methods for various faults on HVDC transmission lines. 展开更多
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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