The smooth operation of today's highly developed civilization depends on a steady flow of power. Since the early to mid-1980s, much work in power systems analysis has shifted away from the rigorous and less laborious approaches of artificial intelligence (AI), which are rooted in the domains of operations research, control theory, and numerical analysis. Power grids continuously expanding as a result of new methods for producing, transmitting, and distributing power, as well as the development of new regions. Power system issues in the areas of control, planning, scheduling, forecasting, etc. have all benefited from the widespread adoption of AI approaches. Applications in today's huge power systems, which have had to add additional interconnections to keep up with rising load demand, present challenging problems that can be overcome with the help of these methods. Many subfields of power system engineering have found success with the use of these methods. With the expanding social economy, safeguarding electrical infrastructure has become an increasingly pressing concern. However, knowing how to secure the electrical system is crucial since it serves so many diverse locations. AI image recognition is used to locate and organize power equipment components such as signal lights, digital instrument panels, switch locations, etc. AI image recognition has been shown to work in simulations and help in the management of power grids