NDLI: Switching impulse discharge voltage prediction of EHV and UHV transmission lines–tower air gaps by a support vector classifier

Content Provider	IET Digital Library
Author	Qiu, Zhibin Ruan, Jiangjun Jin, Qi Wang, Xuesong Huang, Daochun Shu, Shengwen
Abstract	Discharge voltage prediction of practical air gaps in transmission projects is a long-sought goal and also a great challenge in high-voltage (HV) engineering. An approach combined electric field simulation, feature extraction and machine learning algorithm is presented in this study to predict the switching impulse discharge voltages of extra-HV (EHV) and ultra-HV (UHV) transmission lines–tower air gaps. Some features extracted from the electrostatic field distribution are used to characterise the air-gap configuration and taken as input parameters of a prediction model established by a support vector classifier (SVC). Three kinds of actual gap configurations in EHV and UHV transmission lines are taken as test samples to validate the validity of the SVC model. Trained by experimental data of rod–plane gaps and one of the engineering gap configurations, this model is able to predict the discharge voltages of the other two conductor-tower gaps with acceptable accuracy. The mean absolute percentage errors of the three prediction results are 6.84, 4.19 and 3.46%. This research demonstrates the feasibility of discharge voltage prediction for complicated engineering gaps, which is useful to reduce the costly full-scale tests and helpful to guide the external insulation design.
Starting Page	3711
Ending Page	3717
Page Count	7
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 15, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.2081
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-05-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Air Gap Conductor-tower Gaps Connector Dielectric Material And Property Discharges (electric) EHV Transmission Line-tower Air Gaps Electric Field Simulation Electrostatic Field Distribution Engineering Gap Configurations External Insulation Design ExtraHV Transmission Line-tower Air Gaps Feature Extraction High-voltage Engineering HV Engineering Insulator Knowledge Engineering Technique Learning in AI Machine Learning Algorithm Mean Absolute Percentage Error Neural Computing Technique Overhead Line Conductor Overhead Power Line Poles And Towers Power Engineering Computing Power Line Supports Power Transmission Line Prediction Theory Protection Apparatus Rod-plane Gaps Support Vector Classifier Support Vector Machine SVC Switching Impulse Discharge Voltage Prediction Model UHV Transmission Line-tower Air Gaps UltraHV Transmission Line-tower Air Gaps
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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