NDLI: Data-driven method using DNN for PD location in substations

Content Provider	IET Digital Library
Author	Liu, Jiangting Hu, Yue Peng, Hui Zaki, Atta ul Munim
Abstract	Partial discharge (PD) detection and location based on ultra-high frequency (UHF) sensor array have been employed for the power equipment in the whole substation for assessing the insulating condition of electrical equipment and determining a precondition for further implementing insulation diagnosis. At present, one of the widely used localisation methods is time difference of arrival (TDOA) based, localisation result of which is extremely sensitive to time delay estimation and usually time-consuming to solve. Motivated by this, a data-driven method using the deep neural network (DNN) is proposed in this study to significantly speed up the solving process of non-linear TDOA equations and simultaneously guarantee the accuracy of results. It works with sequences of time delay measured from the UHF sensor array as the input of the network and with the corresponding coordinates of PD source as output to train the network. Simulation results demonstrate that the proposed method shows relatively higher accuracy and efficiency in PD location. In addition, many factors such as array shape, error type added to time delay, and detailed structure and parameters of network are taken into consideration for error analysis, laying foundation to more reliable localisation of PD.
Starting Page	314
Ending Page	321
Page Count	8
ISSN	17518822
Volume Number	14
e-ISSN	17518830
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2019.0263
Journal	IET Science, Measurement & Technology
Publisher Date	2019-11-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Data-driven Method Deep Neural Network Dielectric Breakdown And Discharges Electrical Equipment Error Analysis Insulation Neural Computing Technique Neural Nets Nonlinear TDOA Equation Numerical Method Partial Discharge Detection Partial Discharges PD Location Power Apparatus Power Engineering Computing Power Equipment Sensing Device And Transducers Sensor Array Substation Substations Time Delay Estimation Time-of-arrival Estimation UHF Detector Ultra-high Frequency Sensor Array
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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