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A new approach to fault location in a single core underground cable system using combined fuzzy logic and wavelet analysis

机译:结合模糊逻辑和小波分析的单芯地下电缆系统故障定位新方法

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Electric utilities often face the problem of finding the exact location of a fault in a distribution cable. These faults often occur at the worst possible time and cause the maximum amount of inconvenience to the utility's customers. Most fault location techniques in use today require the judgment of skilled operators, can also produce less than desired results for rapid fault location and thus may inflict additional damage to the cable. When a fault occurs in a cable, there are specific relationships between fault voltage, fault current, the resulting fault impedance and location. Thus, with regard to fuzzy logic which is an effective way to map an input space to an output space, it can be employed in fault location as an efficient, economic and adaptable method (compared with other artificial intelligence systems) by simply representing the aforementioned specific relationships as 'if-then' rules combined with a set of common-sense rules. This paper presents the results of investigations into a new fault location technique using advanced signal processing technique based on wavelet technology to extract useful information and this is then applied to fuzzy logic in order to identify and locate the disturbances in a distribution system comprising of single core underground cables, through pattern recognition.
机译:电力公司经常面临在配电电缆中查找故障的确切位置的问题。这些故障通常在最坏的时间发生,给公用事业客户带来最大的不便。当今使用的大多数故障定位技术需要熟练的操作人员进行判断,对于快速的故障定位,其产生的结果也可能少于预期的结果,因此可能会对电缆造成额外的损害。当电缆中发生故障时,故障电压,故障电流,产生的故障阻抗和位置之间存在特定的关系。因此,关于模糊逻辑是一种有效的将输入空间映射到输出空间的方法,通过简单地表示上述内容,它可以在故障定位中作为一种有效,经济且适应性强的方法(与其他人工智能系统相比)使用特定的关系,如“先有就后”规则和一组常识性规则。本文介绍了使用基于小波技术的先进信号处理技术提取故障信息的新故障定位技术的研究结果,然后将其应用于模糊逻辑,以识别和定位包含单核的配电系统中的干扰地下电缆,通过模式识别。

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