Performance measurement of energy management controller using heuristic techniques

Abstract

A smart grid is a modernized form of the traditional grid. Smart grid benefits both, consumer and energy services provider. Demand side management is one of the key component of smart grid to fulfill consumers electricity demands in an efficient manner. It helps consumers to manage their load in an effective way to reduce their electricity bill. In this paper, we design a home energy management controller based on three heuristic techniques: teaching learning based optimization, binary particle swarm optimization and enhanced differential evaluation. The major objective of designing this controller is to minimize consumers electricity bill while maximizing consumers satisfaction. Simulation results show that TLBO achieved maximum user satisfaction at minimum cost and peak to average ratio. A tradeoff analysis between user satisfaction and energy consumption cost is demonstrated in simulation results.