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基于接收信号强度的高压系统局部放电定位的高效算法。

An Efficient Algorithm for Partial Discharge Localization in High-Voltage Systems Using Received Signal Strength.

机构信息

Department of Engineering & Technology, University of Huddersfield, Huddersfield HD1 3DH, UK.

Departmento de Ingeniería Eléctrica, Electrónica, Automática y Física Aplicada, Escuela Técnica Superior de Ingeniería y Diseño Industrial (ETSIDI), Universidad Politécnica de Madrid, Ronda de Valencia 3, Madrid 28012, Spain.

出版信息

Sensors (Basel). 2018 Nov 16;18(11):4000. doi: 10.3390/s18114000.

DOI:10.3390/s18114000
PMID:30453570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6263643/
Abstract

The term partial discharge (PD) refers to a partial bridging of insulating material between electrodes that sustain an electric field in high-voltage (HV) systems. Long-term PD activity can lead to catastrophic failures of HV systems resulting in economic, energy and even human life losses. Such failures and losses can be avoided by continuously monitoring PD activity. Existing techniques used for PD localization including time of arrival (TOA) and time difference of arrival (TDOA), are complicated and expensive because they require time synchronization. In this paper, a novel received signal strength (RSS) based localization algorithm is proposed. The reason that RSS is favoured in this research is that it does not require clock synchronization and it only requires the energy of the received signal rather than the PD pulse itself. A comparison was made between RSS based algorithms including a proposed algorithm, the ratio and search and the least squares algorithm to locate a PD source for nine different positions. The performance of the algorithms was evaluated by using two field scenarios based on seven and eight receiving nodes, respectively. The mean localization error calculated for two-field-trial scenarios show, respectively, 1.80 m and 1.76 m for the proposed algorithm for all nine positions, which is the lowest of the three algorithms.

摘要

术语局部放电(PD)是指在维持高电压(HV)系统电场的电极之间的绝缘材料的部分桥接。长期的 PD 活动会导致 HV 系统的灾难性故障,从而造成经济、能源甚至人员生命的损失。通过持续监测 PD 活动,可以避免此类故障和损失。现有的 PD 定位技术包括到达时间(TOA)和到达时间差(TDOA),由于需要时间同步,因此比较复杂且昂贵。在本文中,提出了一种新的基于接收信号强度(RSS)的定位算法。在本研究中选择 RSS 的原因是它不需要时钟同步,并且只需要接收信号的能量而不是 PD 脉冲本身。对包括提出的算法、比和搜索以及最小二乘法在内的 RSS 算法进行了比较,以定位九个不同位置的 PD 源。通过分别基于七个和八个接收节点的两个现场场景来评估算法的性能。对于两个现场试验场景,分别为提出的算法计算的平均定位误差为所有九个位置的 1.80 m 和 1.76 m,这是三种算法中最低的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/fdb9484c468f/sensors-18-04000-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/cb139088695b/sensors-18-04000-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/3b3f95962b67/sensors-18-04000-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/8ec86be09619/sensors-18-04000-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/3565f93100e1/sensors-18-04000-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/26c5a6901ea5/sensors-18-04000-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/61a722be7ec6/sensors-18-04000-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/71b74ea9c5f2/sensors-18-04000-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ff/6263643/79cc50890ecd/sensors-18-04000-g011.jpg
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Sensors (Basel). 2016 Jan 25;16(2):148. doi: 10.3390/s16020148.
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4
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5
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Sensors (Basel). 2019 Feb 22;19(4):923. doi: 10.3390/s19040923.