An Efficient Energy Management and Household Appliances Scheduling for Residential Customers using Embedded System

Intensive efforts have been made recently in transforming the power grid into smart grid by means of incorporating extensive information and communication infrastructures. In this paper a versatile stochastic optimization approach has been proposed for smart grid, to suffice the residential customers in an efficient energy management comprising high penetration of renewable and distributed energy sources, market based online electricity pricing, large scale storage of energy and high quality demand side management, mitigating monetary expense. The terminology Boost converter used in this paper increases the throughput of solar panel voltage. Smart energy meter, an added advantage of the proposed system provides a two way communication between the utility board and residential unit. The simulation results indicate an appreciable tradeoff between storage capacity and cost saving. This proposed energy consumption scheduling algorithm ensures, generating scheduling solutions within 10 seconds for fast household appliance applications. Keywords— Boost converter, energy storage, real time pricing, smart energy meter, smart grid, stochastic optimization.