Application of Artificial Intelligence algorithms for Grid integration of Renewable energy sources in the National Grid- Indian Government perspective- A Review

Abstract

According to global energy scenario, unbalance in supply as well demand of energy, emission of greenhouse gases, frequent blackout, researchers from all over the world are now focusing on clean and safe energy sources. In present times, people are more inclined towards renewable sources of energy such as wind and solar energy. More focus is on advanced microgrid technology at the load side. Because of several issues of protection and interconnection of generators, most of the typical traditional power grids are no longer used. In the current years, there has been positive perception about the renewable energy resources into electrical power system is validated by major focus due to its weariless, green energy utilization, its recycling capabilities and storage capabilities, less maintenance. Therefore, it indicated a sign of growing strong economy. Use of artificial intelligence and deep learning knowledge shall help in choosing the source of energy considering the cost of generation. Seasonally cost of generation will vary for different sources of energy. If such data is analysed through cloud storage, it can be processed through selected by different sources shall lead to a super saving. This concept can be applied to larger grids as well as smaller grids in the power network.