一种分段处理优选数据窗的双端测距算法
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TM755

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国家重点研发计划资助项目"电力专用CPU及芯片和内嵌入式操作系统研发及应用"(2018YFB0904902);国家重点研发计划资助项目"电力系统终端嵌入式组件和控制单元安全防护技术"(2018YFB0904900)


A two-terminal fault location algorithm based on segmented processing of optimal data window
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    摘要:

    基于集中参数模型的双端测距原理普遍应用在输电线路保护中,对于中、短距离线路,模型误差可以忽略,但仍有其他因素对测距结果产生影响,特别是故障在极短时间内被切除时,测距结果易产生较大误差。为了提升测距准确性及普适性,文中对集中参数模型双端测距算法在常见影响因素下进行绝对误差分析,利用正交试验设计以及仿真计算,对比不同因素对测距误差的影响程度,发现数据窗选取这一因素影响最大。同时发现,相比于其他位置,线路首端故障的测距误差受影响较大。根据这2个特征,提出一种基于分段处理的自适应优选数据窗实用算法。经验证,该算法的测距误差受因素影响程度大幅降低。

    Abstract:

    The two-terminal fault location theory based on the lumped parameter model is widely used in transmission line protection. For short and medium distance transmission lines,the model error is negligible. However,there are still other factors that affect the ranging results. It is easy to produce large error if the fault is removed in a very short time. In order to improve the accuracy and universality of ranging,the absolute error of the two-terminal fault location algorithm based on the lumped parameter model under the common influencing factors is analyzed. By using orthogonal experiment design and simulation calculation,the influence degree of different influencing factors on ranging error is compared. It is found that data window selection is the most influential factor. Besides,the ranging error of the proximal fault of the line,compared to other places,is greatly affected by the influencing factors. According to the two features,a practical algorithm of adaptive optimal data window based on segmented processing is proposed. By verification,the influence of ranging error calculated by the improved algorithm is greatly reduced.

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张灏,薛明军,王学超,杨黎明,李玉平,陈福锋.一种分段处理优选数据窗的双端测距算法[J].电力工程技术,2022,41(3):237-243

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  • 收稿日期:2022-01-05
  • 最后修改日期:2022-03-20
  • 录用日期:2021-10-13
  • 在线发布日期: 2022-05-24
  • 出版日期: 2022-05-28