一种改进的基于差分隧道磁阻传感器阵列法的架空输电线路故障检测方法

IF 2.1 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Canadian Journal of Electrical and Computer Engineering Pub Date : 2022-12-13 DOI:10.1109/ICJECE.2022.3213501
Patrick Nyaaba Ayambire;Huang Qi;Paul Oswald Kwasi Anane;Albert K. Awopone;Li Jian;Olusola Bamisile
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引用次数: 2

摘要

在当前的智能社会中,架空输电线路在确保电力系统安全和可靠性方面发挥着关键作用。架空输电线路在非常复杂的地形中运行,因此容易受到各种故障的影响。大多数输电线路故障会导致电源中断,因此需要快速修复以将系统恢复到正常状态。快速、及时、准确的故障检测技术将确保系统的快速恢复,从而减少停机时间。本文提出了一种增强型输电线路故障检测方法。该方案部署了一种高灵敏度、低成本、高能效的差分传感器来检测沿传输线测量的通量密度变化。故障检测算法是为检测输电线路中的故障而开发的。该开发在输电线路模型上实施,并针对各种故障场景进行了测试。还进行了扩大规模的实验室实验来测量磁通密度和故障识别,以验证所提出的技术的有效性,并估计故障发生时产生的电流量。根据故障期间产生的模拟和测量电流,所提出的技术产生了1.38%的估计误差,而CT和商用电流探针分别产生了10.99%和17.68%的误差。
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An Improved Fault Detection Method for Overhead Transmission Lines Based on Differential Tunnel Magnetoresistive Sensor Array Approach
Overhead transmission lines play a key role in ensuring power system security and reliability in this current smart society. The overhead transmission line operates in a very complex terrain thereby making it vulnerable to various kinds of faults. Most transmission line faults lead to interruption in power supplies and therefore the need for a fast repair to restore the system to its normal state. A fast, timely, and accurate fault detection technique will ensure speedy restoration of the system thereby reducing outage time. In this article, an enhanced transmission lines’ fault detection approach is presented. This scheme deployed a highly sensitive, low cost, and energy-efficient differential sensor to detect flux density variation measured along transmission lines. The fault detection algorithm is developed for the detection of faults in transmission lines. The development is implemented on a model transmission line and tested for various fault scenarios. Scaled-up laboratory experiments were also conducted to measure magnetic flux density and fault identification to verify the validity of the proposed technique as well as estimate the amount of current produced when a fault occurred. From the simulated and measured current produced during a fault, the proposed technique yielded an estimated error of 1.38%, while the CT and a commercial current probe gave errors of 10.99% and 17.68%, respectively.
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