An intelligent energy management system to optimise demand response in Smart Micro Grids

This paper proposes the development of an intelligent Energy Management System (EMS) at consumer end to utilize the sensitivities of the local renewable generation, battery backup and Plug In Electric Vehicle resources to the changes in grid power input and price of electricity for utility and Demand Response optimization in Smart Micro Grids. In Demand Response usually the price elasticity of demand is considered as per statistical data. In this work the development of an optimized Demand Response(DR) has been depicted for reliable and efficient operation of Micro grids with Smart Communication facility. A housing complex, in the proposed work has been viewed as a future micro-grid and it has been demonstrated that the EMS developed can be effectively programmed to minimize the consumer payment by efficient utility and load management with the assistance of pricing signals from the Smart Grid. The choice of Particle Swarm Optimization(PSO) was compelling for the nonlinear nature of the optimization surface. The results obtained from simulation looked promising from context of future Smart Micro Grids.