A current‐voltage composite controller for an arc suppression inverter is designed.The current and voltage at the fault point are reduced by injecting current and regulating the neutral point voltage to completely el...A current‐voltage composite controller for an arc suppression inverter is designed.The current and voltage at the fault point are reduced by injecting current and regulating the neutral point voltage to completely eliminate the risk of fire and overvoltage caused by a single‐line‐to‐ground fault arc.A cascaded inverter is used,and the effects of the ground parameter measurement,line impedance voltage drop,harmonic current and arc sup-pression coil on the current control,voltage control and composite control methods are analysed and compared.Finally,software simulations and industrial prototype experi-ments show that the proposed composite control method is effective and less affected by ground parameter measurement and line impedance voltage drop and has better adaptability.展开更多
Effective features are essential for fault diagnosis.Due to the faint characteristics of a single line-to-ground(SLG)fault,fault line detection has become a challenge in resonant grounding distribution systems.This pa...Effective features are essential for fault diagnosis.Due to the faint characteristics of a single line-to-ground(SLG)fault,fault line detection has become a challenge in resonant grounding distribution systems.This paper proposes a novel fault line detection method using waveform fusion and one-dimensional convolutional neural networks(1-D CNN).After an SLG fault occurs,the first-half waves of zero-sequence currents are collected and superimposed with each other to achieve waveform fusion.The compelling feature of fused waveforms is extracted by 1-D CNN to determine whether the fused waveform source contains the fault line.Then,the 1-D CNN output is used to update the value of the counter in order to identify the fault line.Given the lack of fault data in existing distribution systems,the proposed method only needs a small quantity of data for model training and fault line detection.In addition,the proposed method owns fault-tolerant performance.Even if a few samples are misjudged,the fault line can still be detected correctly based on the full output results of 1-D CNN.Experimental results verified that the proposed method can work effectively under various fault conditions.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.51677030).
文摘A current‐voltage composite controller for an arc suppression inverter is designed.The current and voltage at the fault point are reduced by injecting current and regulating the neutral point voltage to completely eliminate the risk of fire and overvoltage caused by a single‐line‐to‐ground fault arc.A cascaded inverter is used,and the effects of the ground parameter measurement,line impedance voltage drop,harmonic current and arc sup-pression coil on the current control,voltage control and composite control methods are analysed and compared.Finally,software simulations and industrial prototype experi-ments show that the proposed composite control method is effective and less affected by ground parameter measurement and line impedance voltage drop and has better adaptability.
基金supported by the National Natural Science Foundation of China through the Project of Research of Flexible and Adaptive Arc-Suppression Method for Single-Phase Grounding Fault in Distribution Networks(No.51677030).
文摘Effective features are essential for fault diagnosis.Due to the faint characteristics of a single line-to-ground(SLG)fault,fault line detection has become a challenge in resonant grounding distribution systems.This paper proposes a novel fault line detection method using waveform fusion and one-dimensional convolutional neural networks(1-D CNN).After an SLG fault occurs,the first-half waves of zero-sequence currents are collected and superimposed with each other to achieve waveform fusion.The compelling feature of fused waveforms is extracted by 1-D CNN to determine whether the fused waveform source contains the fault line.Then,the 1-D CNN output is used to update the value of the counter in order to identify the fault line.Given the lack of fault data in existing distribution systems,the proposed method only needs a small quantity of data for model training and fault line detection.In addition,the proposed method owns fault-tolerant performance.Even if a few samples are misjudged,the fault line can still be detected correctly based on the full output results of 1-D CNN.Experimental results verified that the proposed method can work effectively under various fault conditions.
