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

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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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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Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Asma Zahra, Zain Ul Abideen, Anwaar Ur Rehmaan, Sidra Razzaq, Ayesha Anjum & Nadeem Javaid

Authors
  1. Asma Zahra
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  2. Zain Ul Abideen
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  3. Anwaar Ur Rehmaan
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  4. Sidra Razzaq
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  5. Ayesha Anjum
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  6. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Zahra, A., Abideen, Z.U., Rehmaan, A.U., Razzaq, S., Anjum, A., Javaid, N. (2018). Home Energy Management Using HSA, FA, BFOA Algorithms in Smart Grids. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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