首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Electrical Engineering >A Novel Relaying Approach for Performance Enhancement in a STATCOM Integrated Wind-Fed Transmission Line Using Single-Terminal Measurement
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A Novel Relaying Approach for Performance Enhancement in a STATCOM Integrated Wind-Fed Transmission Line Using Single-Terminal Measurement

机译:利用单端测量提高STATCOM集成风电传输线性能的新型中继方法

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This paper presents the novel relaying algorithm for fault detection in static synchronous compensator integrated transmission line including wind firm. The scheme is used for single-terminal data measurement. The faulty current signals are retrieved from single end terminal of the transmission line through the current transformer placed at sending end and process through DWT to obtain the spectral energy of the current signals. The spectral energy of the current signal obtained from the sending end using DWT is fed to the input of artificial neural network (ANN)-based fault detector for evaluating fault detection. The combined approach of DWT-ANN is used to detect and classify the fault. The proposed scheme uses the faulty current signal from single-terminal data. So, the requirement of communication link is not needed and it involves less cost. Another merit of the proposed scheme is that the fault detection time is reduced when DWT-ANN approach is used as compared to other existing schemes. In addition to this, the scheme works fine to detect the fault with the parameter variation of the line such as source impedance, fault inception angle, wind speed, fault location, fault type, fault resistance and high-resistance fault. It senses the fault in an accurate manner and classifies the fault at any parameter variation of the line. The fault detection time (delay time) remains within a half-cycle period of time (10 ms). The overall performance of the scheme is found to be nearly 99.98%. Therefore, the scheme is very effective, accurate and simple to understand the fault detection and classification of the line.
机译:本文提出了一种新的继电器检测算法,该算法用于包括风力发电机在内的静态同步补偿器综合输电线路的故障检测。该方案用于单端数据测量。通过放置在发送端的电流互感器从传输线的单端端子中检索出故障的电流信号,并通过DWT进行处理以获得电流信号的频谱能量。使用DWT从发送端获得的电流信号的频谱能量被馈送到基于人工神经网络(ANN)的故障检测器的输入,以评估故障检测。 DWT-ANN的组合方法用于检测和分类故障。所提出的方案使用来自单端数据的故障电流信号。因此,不需要通信链路的需求,并且涉及较少的成本。提出的方案的另一个优点是,与其他现有方案相比,当使用DWT-ANN方法时,减少了故障检测时间。除此之外,该方案可以很好地检测线路参数变化的故障,例如源阻抗,故障起始角度,风速,故障位置,故障类型,故障电阻和高阻故障。它可以准确地检测故障,并根据线路的任何参数变化对故障进行分类。故障检测时间(延迟时间)保持在半周期时间段(10 ms)内。发现该方案的整体性能接近99.98%。因此,该方案非常有效,准确且易于理解线路的故障检测和分类。

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