An Enhanced Differential Evolution Based Energy Management System for Smart Grids

Abstract

With the emergence of smart grid which has bidirectional communication capability plays a key role in maintaining balance between demand and supply. The major portion of energy consumed by residential sector creates a huge deficit between generation and consumption. Home energy management (HEM) system incorporation scheduling algorithm is an efficient alternate to cover this deficit by appropriate scheduling different appliances in residential sector. By using appliance scheduling scheme, utility get benefit by reducing peak demand and consumer got huge cost saving in its bill. These two objectives are achieved by continuously monitoring fluctuation in price signal, Recently, a stochastic based optimization techniques are used to meet the above objectives. In this work, the performance of HEM is evaluated by using two recent optimization i.e. differential evolution (DE) and enhanced differential evolution (EDE)algorithm. Finally, to validate the performance scheduling techniques in terms of peak to average ratio (PAR), total electricity cost, user comfort and energy consumption simulations are done in matlab. The simulations results prove that enhanced differential evolution algorithm performs efficiently than differential evolution algorithm.