Zhang Chongxing, Dong Ming, Ren Ming, Huang Wenguang, Zhou Jierui, Gao Xuze, Albarracín Ricardo
State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Electrical and Electronic Engineering, Automatic Control, and Applied Physics, Escuela Técnica Superior de Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain.
Sensors (Basel). 2018 Feb 11;18(2):551. doi: 10.3390/s18020551.
Metal-enclosed switchgear, which are widely used in the distribution of electrical energy, play an important role in power distribution networks. Their safe operation is directly related to the reliability of power system as well as the power quality on the consumer side. Partial discharge detection is an effective way to identify potential faults and can be utilized for insulation diagnosis of metal-enclosed switchgear. The transient earth voltage method, an effective non-intrusive method, has substantial engineering application value for estimating the insulation condition of switchgear. However, the practical application effectiveness of TEV detection is not satisfactory because of the lack of a TEV detection application method, i.e., a method with sufficient technical cognition and analysis. This paper proposes an innovative online PD detection system and a corresponding application strategy based on an intelligent feedback distributed TEV wireless sensor network, consisting of sensing, communication, and diagnosis layers. In the proposed system, the TEV signal or status data are wirelessly transmitted to the terminal following low-energy signal preprocessing and acquisition by TEV sensors. Then, a central server analyzes the correlation of the uploaded data and gives a fault warning level according to the quantity, trend, parallel analysis, and phase resolved partial discharge pattern recognition. In this way, a TEV detection system and strategy with distributed acquisition, unitized fault warning, and centralized diagnosis is realized. The proposed system has positive significance for reducing the fault rate of medium voltage switchgear and improving its operation and maintenance level.
金属封闭开关设备广泛应用于电能分配，在配电网中发挥着重要作用。其安全运行直接关系到电力系统的可靠性以及用户侧的电能质量。局部放电检测是识别潜在故障的有效方法，可用于金属封闭开关设备的绝缘诊断。暂态地电压法作为一种有效的非侵入式方法，在评估开关设备绝缘状况方面具有重要的工程应用价值。然而，由于缺乏暂态地电压检测应用方法，即缺乏足够技术认知和分析的方法，暂态地电压检测的实际应用效果并不理想。本文提出了一种基于智能反馈分布式暂态地电压无线传感器网络的创新型在线局部放电检测系统及相应的应用策略，该网络由传感层、通信层和诊断层组成。在所提出的系统中，暂态地电压信号或状态数据在由暂态地电压传感器进行低能量信号预处理和采集后，无线传输至终端。然后，中央服务器分析上传数据的相关性，并根据数量、趋势、并行分析和相位分辨局部放电模式识别给出故障预警等级。通过这种方式，实现了具有分布式采集、统一故障预警和集中诊断的暂态地电压检测系统及策略。所提出的系统对于降低中压开关设备的故障率、提高其运行维护水平具有积极意义。
