Artificial Neural Network Based Protection for DC Bus Using Solid State DC Breaker

Authors

Eswaraiah Giddalur, Department of Electrical and Electronics Engineering, JNTUH University College of Engineering, Science and Technology Hyderabad, Hyderabad, IndiaFollow
Askani Jaya Laxmi, Department of Electrical and Electronics Engineering, JNTUH University College of Engineering, Science and Technology Hyderabad, Hyderabad, IndiaFollow

Abstract

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of scientific exploration, including electrical engineering. This paper proposes an Artificial Neural Network protection strategy with a Solid-State circuit breaker based bi-directional short circuit current blocker in series with bus for the protection of DC bus in LVDC Microgrid. Artificial neural network (ANN) technique is used for optimization of fault clearing time within a millisecond.

Keywords

DC Breaker, ANN, Solar, Wind, Protection system

Publication Date

2025

Received Date

05/01/2025

Revised Date

26/05/2025

Accepted Date

29/05/2025

Recommended Citation

Giddalur, Eswaraiah and Laxmi, Askani Jaya (2025) "Artificial Neural Network Based Protection for DC Bus Using Solid State DC Breaker," ASEAN Journal on Science and Technology for Development: Vol. 43: No. 1, Article 2.
DOI: https://doi.org/10.61931/2224-9028.1632
Available at: https://ajstd.ubd.edu.bn/journal/vol43/iss1/2