A Smart Grid Overvoltage Identification System Associated with Partial Discharge Signal and Dielectric Loss Detection
Author:
Chen Guojin12, Zhu Yucheng12, Meng Zihao13, Fang Weixing1, Xie Wei3, Xu Ming12, Li Wenxin12
Affiliation:
1. College of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China 2. Anji Intelligent Manufacturing Technology Research Institute Co., Ltd., Hangzhou Dianzi University, Huzhou 313000, China 3. Hangzhou Kelin Electric Co., Ltd., Hangzhou 310011, China
Abstract
Capacitive equipment refers to its insulation design using the principle of capacitance of electrical equipment, mainly by a variety of different capacitive components in series. Most of the equipment in the substation is capacitive equipment. Once an insulation failure occurs, it will lead to extremely serious consequences. Monitoring grid overvoltage and insulation degradation of capacitive equipment is an effective means to ensure the stable operation of the power system. Therefore, in order to enhance the health management of capacitive equipment, including transformers, bushings, and current transformers, and to mitigate the risk of severe failures, it is imperative to conduct broad-spectrum frequency-domain online monitoring of overvoltages, dielectric losses, and partial discharge. However, the current monitoring work requires the utilization of multiple detection apparatuses. Aiming at the disadvantage that the existing inspection is not well integrated and requires a combination of multiple devices. This paper proposes a smart grid overvoltage identification system that utilizes partial discharge (PD) signals in correlation with dielectric loss detection. The system achieves synchronous detection of dielectric loss and high-frequency partial discharge by synchronously and in real-time acquiring four current signals from the power grid, enhancing the integration level of the hardware system.
Funder
Zhejiang Science and Technology Plan Project Fundamental Research Funds for the Provincial University of Zhejiang
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
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