Home Energy Management Using HSA, FA, BFOA Algorithms in Smart Grids

  • Asma Zahra
  • Zain Ul Abideen
  • Anwaar Ur Rehmaan
  • Sidra Razzaq
  • Ayesha Anjum
  • Nadeem Javaid
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 7)

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.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Asma Zahra
    • 1
  • Zain Ul Abideen
    • 1
  • Anwaar Ur Rehmaan
    • 1
  • Sidra Razzaq
    • 1
  • Ayesha Anjum
    • 1
  • Nadeem Javaid
    • 1
  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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