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Development of a fault location algorithm based on distributed neutral-to-ground current sensor measurements.

机译:基于分布式中性点到地电流传感器测量的故障定位算法的开发。

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摘要

Faults in power systems cause power interruption, thermal damage of equipment and even complete collapse of the power system if they are not detected and isolated from the healthy parts of the power system. Therefore, location and isolation of faults in power systems is very important not only for service continuity, but also for quality of power delivered. In recent days, power quality problems in power system are one of the major issues and area of interest for research. Line-to-ground (L-G) faults are the most common type of fault in power distribution systems. Therefore, many techniques for L-G fault location have been proposed and implemented in transmission and distribution systems. In recent developments of techniques for fault location in distribution systems, Cannon Technologies (Cooper Power Systems) has proposed a new method based on real-time monitoring of current levels in the neutral-to-ground paths at different key locations along a distribution feeder. The proposed method was implemented in a real system incorporated with a communication system to retrieve data recorded by sensors placed at key locations, back to the substation whenever there is a L-G fault in the distribution feeder. The field tests were conducted on Oak Park distribution feeder, Minneapolis. The data obtained from field tests indicated that there is a potential useful relationship between the current through the neutral-to-ground paths and the fault location. Therefore, Cooper Power requested SDSU to perform further studies to help confirm their findings and establish the viability of the proposed method. The multi-grounded Oak Park distribution system, with and without ground-mesh at T sections of distribution feeders, has been modeled in EMTP (Electromagnetic transient program). The study showed that the results are influenced by the change of geographical layout of distribution feeder. The current monitored in neutral-to-ground path can provide useful information to determine the fault position in distribution feeder. Therefore, based on this information, an algorithm for L-G fault location, using the least number of sensors throughout the distribution system, is proposed. The proposed algorithm for fault location is the method of triangulation based on simple differential neutral-to-ground current measurements. In this method, the data, recorded by sensors placed at key locations along the primary feeder, are employed in an exponential curve fitting algorithm, which leads to a predicted fault location. The intersection point of two exponential lines is the predicted fault position. As the position of sensor pairs changes both in location and pair separation, the exponential fit changes accordingly, resulting in changes of expected fault position in the feeder. When the sensors at key locations are uniformly distributed by a distance of 36 poles and the method of triangulation with exponential approximation is implemented, the fault location accuracy is achieved within a maximum error of 6 poles for a pole-to-pole distance of 40 meters, which is close to the desired fault-location target of +/- 5 poles.;Since the profile of current through the neutral-to-ground paths (R ng) is affected by the change in value of resistance of modeled earth-ground (Rg), a sensitivity test is performed to observe the dependency of current through Rng due to change in Rg from 0 to 1000 O/km. The sensitivity test showed that the nature of profile of current through Rng remained the same when the value of R g increased, but an increase in value of Rg results in an increased distribution of current through Rng near to the fault location. Similarly, the validity test of the proposed algorithm for fault location is performed by changed profile of current through Rng due to change in Rg from 0 to 1000 O/km. The proposed algorithm for fault location worked for all the test cases. However, the number of sensors and spacing between the sensors increased for large value of Rg. When value of Rg is 100 O/km, the fault location algorithm, with 4 sensors uniformly distributed by 36 poles, can locate fault within a maximum error of 6 poles. However, for Rg of 250 O/km, the fault location algorithm, with 4 sensors uniformly distributed by 36 poles, can locate fault within a maximum error of 28 poles, but for the same value of Rg (= 250O/km), if 6 sensors are uniformly distributed by 21 poles apart, the fault location algorithm can locate the fault with a maximum error of 5 poles. This indicates that if high level of accuracy is desired, greater will be the number of sensors used for fault location, which consequently increased the cost for fault location.
机译:如果未检测到故障并将其与电源系统的健康部件隔离开,则电源系统的故障会导致电源中断,设备热损坏,甚至使电源系统完全崩溃。因此,对电力系统中的故障进行定位和隔离不仅对于服务连续性而且对于所输送的电能质量都非常重要。近年来,电力系统中的电能质量问题已成为研究的主要问题和关注领域之一。线对地(L-G)故障是配电系统中最常见的故障类型。因此,已经提出了许多用于L-G故障定位的技术并在传输和分配系统中实现。在配电系统故障定位技术的最新发展中,Cannon Technologies(库珀电力系统公司)提出了一种基于实时监测配电馈线不同关键位置中性点至地面路径中电流水平的新方法。所提出的方法在包含通信系统的真实系统中实现,以在配电馈线中出现L-G故障时检索放置在关键位置的传感器记录的数据,然后将其返回到变电站。现场测试是在明尼阿波利斯的Oak Park配送支线进行的。从现场测试获得的数据表明,通过中性点至地面的电流与故障位置之间存在潜在的有用关系。因此,Cooper Power要求SDSU进行进一步的研究,以帮助确认他们的发现并确定所提出方法的可行性。在EMTP(电磁暂态程序)中,对多接地的Oak Park配电系统进行了建模,该配电系统在配电馈线的T区段带有或不带有接地网。研究表明,结果受配电馈线地理布局变化的影响。中性点到地面路径中监视的电流可以提供有用的信息,以确定配电馈线中的故障位置。因此,基于此信息,提出了在整个配电系统中使用最少数量的传感器进行L-G故障定位的算法。提出的故障定位算法是基于简单差分中性点到地电流测量的三角剖分方法。在这种方法中,由传感器放置在沿主馈线关键位置的数据记录在指数曲线拟合算法中,该算法可得出预测的故障位置。两条指数线的交点是预测的断层位置。随着传感器对的位置在位置和对间距上的变化,指数拟合也会相应地变化,从而导致馈线中预期故障位置的变化。当关键位置的传感器以36个极点的距离均匀分布并且采用指数近似的三角剖分方法时,对于40米的极点间距离,故障定位精度可达到6个极点的最大误差,这接近于所需的+/- 5极故障定位目标。;由于通过中性点到地的电流(R ng)的分布受到模型接地电阻值变化的影响(Rg),执行灵敏度测试以观察由于Rg从0到1000 O / km的变化而导致的流经Rng的电流的依赖性。灵敏度测试表明,当R g的值增加时,流过Rng的电流的性质保持不变,但是Rg值的增加导致流经Rng的电流在故障位置附近的分布增加。类似地,由于Rg从0到1000 O / km的变化,通过流过Rng的电流的分布发生了变化,从而对故障定位算法进行了有效性测试。所提出的故障定位算法适用于所有测试案例。但是,对于较大的Rg值,传感器的数量和传感器之间的间距会增加。当Rg的值为100 O / km时,故障定位算法具有4个传感器,均匀分布36个极点,可以在最大6个极点的误差范围内定位故障。但是,对于Rg为250 O / km的故障定位算法(具有4个传感器,均匀分布36个极点),可以在最大28个极点的误差范围内定位故障,但是对于相同的Rg值(= 250O / km),如果6个传感器均匀分布,相距21极,故障定位算法可定位故障,最大误差为5极。这表明,如果需要较高的准确性,则用于故障定位的传感器数量将更多,因此增加了故障定位的成本。

著录项

  • 作者

    Paudel, Madhab.;

  • 作者单位

    South Dakota State University.;

  • 授予单位 South Dakota State University.;
  • 学科 Engineering Electronics and Electrical.;Energy.
  • 学位 M.S.
  • 年度 2009
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:21

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