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Fault identification in distribution systems using maximum overlap wavelet decomposition

机译:最大重叠小波分解的配电系统故障识别

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This paper presents a novel voltage-based protection element using MODWT wavelet coefficients. This helps improve the sensitivity of existing current-based protection which can be subjected to sensitivity issues given the evolving distribution grids with multiple generation sites. The analysis of the voltage transient immediately after a disturbance can provide much useful information about the nature of the disturbance, which may otherwise be hidden. Therefore, augmenting transient based fault detection to existing techniques can improve the system protection. The proposed algorithm analyses the relative and individual content of high and low wavelet-level coefficients to reliably detect faults, and not trigger during non-fault disturbances like capacitor switching. The performance of the element is validated using results from power system simulation models and field event reports.
机译:本文提出了一种使用MODWT小波系数的新型基于电压的保护元件。这有助于提高现有基于电流的保护的灵敏度,鉴于具有多个发电站点的不断发展的配电网,该保护可能会遇到灵敏度问题。干扰后立即对电压瞬变进行分析可以提供有关干扰性质的许多有用信息,否则这些信息可能会被隐藏。因此,将基于瞬态的故障检测扩展到现有技术可以改善系统保护。所提出的算法分析了高小波系数和低小波系数的相对和个别内容,以可靠地检测故障,并且在诸如电容器切换之类的非故障干扰期间不会触发。元素的性能使用电力系统仿真模型和现场事件报告中的结果进行验证。

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