Year: 2025
Type: article
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.
Authors: Eswaraiah Giddalur, Askani Jaya Laxmi
Institution: Jawaharlal Nehru Technological University, Hyderabad
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412370803