Home energy management using hsa, fa, bfoa algorithms in smart grids

Abstract

In this paper, we have designed home energy management scheduler (HEMS) based on three heuristic algorithms such as, harmony search algorithm (HSA), firefly algorithm (FA) and bacteria foraging optimization algorithm (BFOA) with combination of critical peak pricing (CPP) signal model. Moreover, we are evaluating performance of above mentioned algorithms on the basis of electricity cost, peak hour scheduling, user comfort (UC) and peak to average ratio (PAR). Simulation results depict that our proposed HEMS significantly achieved targeted objectives. BFOA based HEMS outperformed FA and HSA in terms of PAR minimization, electricity cost reduction and maximization of UC.