A comprehensive review on deep learning techniques in power system protection: Trends, challenges, applications and future directions

• Exploring the potential of DL as a transformative tool in power system protection • Conducting a bibliometric study to recognize trends, status and research hotspots • Analyzing all possible applications of DL in in power system protection (PSP) • Describe the ability of DL to improve the resilience and safety of utility system • Discusses the perspectives, limits, and future directions of DL application in PSP The new edged and multi-source integrated electric power systems (EPSs) with increasing complexity necessitate advanced protection mechanisms to meet the demand for reliability. The primary goal of this review is to explore the potential of deep learning (DL) as a transformative tool in power system…