分析了苏拉威西东南部输电管道的短路位置

Pebi Wahyudin, Mustarum Musaruddin, Hasmina Tari Mokui
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引用次数: 0

摘要

电力系统经常受到干扰,特别是输电线路上的短路干扰。这种短路干扰是由各种因素引起的,如雷击浪涌、倒下的树木、动物和其他条件。互联互通的东南苏拉威西电力系统离不开这个短路问题。因此,必须迅速确定这种短路故障的位置,以便能够立即确定引起干扰的原因。本研究旨在分析利用Takagi方法确定短路故障的位置。采用ETAP 16.0.0软件进行仿真,了解苏拉威西东南电网潮流情况。该方法以变电站的记录数据为基础,利用扰动发生前后的情况分析扰动的位置。对苏拉威西东南输电线路的分析结果表明,与lasuswa - kolaka输电线路检查后的10,173-9,960 km记录读数结果相比,使用Takagi方法确定单相短路故障到地位置的准确率为0.368-0.581 km(1.49%),相差31.58%。与故障定位器读数分别为3.212公里(19.36%)和1.812公里(10.92%)相比,1号线和2号线Kolaka-Lasusua的干扰产生的误差值分别为1.533公里(9.24%)和1.547公里(9.32%)。与此同时,Unaaha-Kolaka输电线路产生的距离差为0.709 km(3.29%),而故障定位器读数为4.323 km(20.12%)。潮流仿真结果表明,该电站装机容量为188mw,总有功功率为116.780 MW,无功功率为29944 Mvar。因此,可以得出结论,Takagi方法在读取故障定位器中具有更好的精度值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Penentuan Lokasi Gangguan Hubung Singkat Pada Saluran Transmisi Di Sulawesi Tenggara
The electricity system often experiences disturbances, especially short circuit disturbances on transmission lines. This short circuit disturbance is caused by various things such as lightning surges, fallen trees, animals, and other conditions. The interconnected Southeast Sulawesi power system cannot be separated from this short circuit problem. Therefore, determining the location of this short-circuit fault must be done quickly so that the cause of the disturbance can be immediately identified. This study aims to analyze the determination of the location of short circuit faults using the Takagi Method. Simulations were carried out using ETAP 16.0.0 software to see the condition of the Southeast Sulawesi system power flow. This Takagi method analyzes the location of the disturbance using the conditions before and after the disturbance occurs based on the recorded data at the substation. The results of the analysis carried out on the Southeast Sulawesi transmission line show that the percentage of accuracy in determining the location of a single-phase short-circuit fault to ground using the Takagi method is better, with a distance difference of 0.368-0.581 km (1.49%) when compared to the reading results on recordings of 10,173-9,960 km (31.58%) from the fault location occurred after inspection of the Lasusua-Kolaka transmission line. Disturbances on lines 1 and 2 Kolaka-Lasusua produce an error value of 1.533 km (9.24%) and 1.547 km (9.32%) when compared to fault locator readings of 3.212 km (19.36%) and 1.812 km ( 10.92%). Meanwhile, the Unaaha-Kolaka transmission line produces a distance difference of 0.709 km (3.29%) when compared to the fault locator reading of 4.323 km (20.12%). The results of the power flow simulation produce an installed generating capacity of 188 MW, a total active power of 116.780 MW and a reactive power of 29,944 Mvar. Thus, it can be concluded that the Takagi Method has a better accuracy value in reading fault locators.
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