CAJ | 학술논문

自适应重合闸的功能是快速、准确地辨识故障性质及捕捉电弧熄灭时刻。在分析瞬时性故障和永久性故障断路器跳闸后的端电压波形复杂性的基础上，提出了局部均值分解(LMD)、近似熵和线性支持向量机(SVM)相结合的自适应重合闸整体实现方案。利用LMD 分解故障信号得到若干个 PF 分量，选取前3个 PF 分量算出其近似熵值构成三维特征向量，将三维特征向量作为 SVM 的输入量来区分故障性质和捕捉电弧熄灭时刻。线路故障仿真结果表明，该方案可智能识别故障性质和捕捉电弧熄灭时刻且具有一定的抗噪能力。
자괄응중합갑적공능시쾌속、준학지변식고장성질급포착전호식멸시각。재분석순시성고장화영구성고장단로기도갑후적단전압파형복잡성적기출상，제출료국부균치분해(LMD)、근사적화선성지지향량궤(SVM)상결합적자괄응중합갑정체실현방안。이용LMD 분해고장신호득도약간개 PF 분량，선취전3개 PF 분량산출기근사적치구성삼유특정향량，장삼유특정향량작위 SVM 적수입량래구분고장성질화포착전호식멸시각。선로고장방진결과표명，해방안가지능식별고장성질화포착전호식멸시각차구유일정적항조능력。
The key function of adaptive reclosing is to correctly identify fault nature and quickly capture the transient fault arc extinction time.Based on the analysis of the waveform complexity of fault terminal voltage after circuit breaker tripping under transient fault and permanent fault,this paper presented an a-daptive reclosing overall implementation by combining local mean decomposition (LMD),approximate en-tropy and support vector machine (SVM).After getting the PF components of fault signal by using LMD decomposition,the approximate entropy of the first three PF components is calculated,which constitutes a three-dimensional feature vector as the input of SVM to identify fault nature and to capture arc extinguis-hing moment.Simulation results verify that this method can intelligently distinguish the transient fault from permanent fault,and capture transient fault extinction time with a strong anti-noise ability.