The objective is to develop adaptive and intelligent methods for power quality monitoring in emerging power grids. The transition from the conventional grid to the modern, intelligent grid known as smart grid is influenced by several economic, social and technical factors, that brought different stages of automation, transformation and evolution in the grid. Smart grid combines myriad of technologies like information, communication, and power system engineering with computational intelligence. Thus, more sophisticated techniques are required to monitor, diagnose, control, and protect the grid operation and its behavior. Considering these aspects, the current work focuses on developing adaptive and intelligent methodologies for power quality monitoring. The methodology will comprise of combining methods from signal processing, deep learning, artificial intelligence etc.
Center for Computational Engineering and Networking (CEN), Coimbatore Campus
M.Tech Degree in Electrical and Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering, Information Technology or another related domain
Some background in programming languages such as Python, Matlab and power system related simulation software’s.
