Abstract:
With the growing demand for Electricity and alarming climate changes have obsessed the participants of the energy market to gain agreement on initiating the idea of “Smart Grid”. Along with this,the concern for the production of fossil-fuel resources have paved the ways towards strong research to set up enhanced energy system with the assistance of DG resources like PV Power preserved by Energy Storage systems. Thus, this Research will provide heuristics by designing a Scheduler based on Look Ahead Approach through Direct Mapping Approach and Artificial Intelligence (Fuzzy Logic) Approach, all based on forecasting.to provide an optimized Power Flow Management in Smart Home. The main aims and objectives of this work are to provide the optimized Power scheduler that reduces the owner’s energy bill over the period ,also to minimize the cost linked with acquiring from (or selling back to) the grid,while meeting the load demands and reducing the peak electricity buying from the Grid , thus providing an optimized smart power flow in an era of extensive blackouts and Critical peak pricing market issues. The Solution would help achieve the economic goal of providing Consistent Energy Power 24/7 at economic cost as compared to the conventional methods followed earlier.This solution would also help achieve and provide an optimized solution to the Energy Management in Nano Grid based smart Homes.
