The dynamic grid of the present day with integration of renewable energy sources of the government and general public, development of technologies as SCADA are capturing large data that need to be analyzed to be able to give corrective action signals to maintain power system stability. There is therefore need to determine the optimum corrective action that need to be taken within a few micro-seconds. As several megawatts feed into the grid from variable renewable energy sources, determining the capacity levels is of prime importance for stable and efficient grid operation. Renewable taking up a greater share of the grid, there is a loss of base load generation from sources such as coal, which provide grid inertia through heavy rotating equipment such as steam and gas turbines. Without grid inertia, power networks will be unstable and susceptible to blackouts. Supported by emerging technologies, such as the internet of things (IoT), sensors, big data and distributed technology, the modern day sensors are able to capture enormous amount of real-time data, which can be processed and analyzed only with high speed software applications as artificial intelligence programs.