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

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.