NDLI: Knowledge-based artificial neural network for power transformer protection

Content Provider	IET Digital Library
Author	Li, Zongbo Jiao, Zaibin He, Anyang
Abstract	Data-driven and artificial intelligence based transformer protection has attracted increasing attention but not been widely applied in the power system owing to the poor generalisation ability. In this study, a feature transferring method is proposed for a knowledge-based artificial neural network (ANN) to develop a transformer protection with an improved generalisation ability. Normally, power experts can reliably identify the running states based on the professional knowledge of only focusing on the unsaturated parts of equivalent magnetisation curve (voltage of magnetising branch-differential current). In order to imitate the power experts, the images of equivalent magnetisation curves whose saturated parts are removed are defined as source domain and the original samples are target domain. An ANN named as S:ANN is firstly trained through the source domain where the extracted features are equivalent to the professional knowledge. Then another ANN with the same structure as S:ANN is trained through the target domain and named as T:ANN. It is specially designed for T:ANN that adaptive layers are employed between S:ANN and T:ANN to reduce the feature differences. Finally, simulations and experiments reveal that the knowledge-based ANN namely the determined T:ANN shows a better generalisation ability through paying more attention to the unsaturated parts.
Starting Page	5782
Ending Page	5791
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 24, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/24
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0542
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Intelligence Data Handling Technique Data-driven Equivalent Magnetisation Curve Expert System And Other AI Software And Technique Feature Extraction Feature Transferring Generalisation (artificial Intelligence) Knowledge Based System Knowledge-based ANN Knowledge-based Artificial Neural Network Neural Computing Technique Neural Nets Power Engineering Computing Power Transformer Protection S:ANN T:ANN Transformer And Reactors
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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