基于小波能量谱的T型线路故障定位新算法
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TM755; TM507

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国家自然科学基金资助项目(51405381);陕西省工业公关资助项目(2016GY-040)


A New Algorithm for T-Line Fault Location Based on Wavelet Energy Spectrum
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    摘要:

    针对带T型分支的输电线路的故障判支死区问题,为了实现故障精准定位,提出一种基于小波能量谱的T型输电线路测距新算法。利用三次B样条小波变换模极大值算法提取故障特征,在非死区范围内,由三端测距法即可准确完成故障测距;在死区范围内,通过小波能量谱算法判断故障分支,再利用三端测距法完成故障测距。该算法解决了T型线路故障分支判别的死区问题,消除了噪声和波速不稳定带来的影响。仿真软件仿真结果表明,所提方法能够满足T型线路故障测距的要求,不受故障类型和过渡阻抗的影响,并且解决了O区测量盲区的难题。

    Abstract:

    Considering the fault dead time problem of transmission lines with T type branches, a new algorithm based on wavelet energy spectrum for T transmission line location is proposed to achieve fault precision location. The cubic B-spline algorithm of wavelet transform modulus maxima is applied to extract the fault feature. In the non-dead zone, the three-terminal location method is used to accurately complete the fault location. In the dead time range, the wavelet energy spectrum algorithm judges the fault branch, and then the three terminal fault location method is used to complete the fault location. The simulation results show that the proposed method can meet the requirements of T-line fault location. The algorithm proposed in this paper is not only affected by the fault type and transition impedance, but also appropriate to solve the difficult problem of measuring the blind area in an O area.

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  • 在线发布日期: 2018-07-04
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