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Demand Side Management Using Strawberry Algorithm and Bacterial Foraging Optimization Algorithm in Smart Grid

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Book cover 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 Home Energy Management System (HEMs), consumer has the opportunity to schedule home appliances. In this paper, we have purposed an efficient HEMs by using two heuristic techniques: Bacterial Foraging Optimization Algorithm (BFA) and Strawberry Algorithm (SBA). We divide the appliances into three categories. The primary objective of this work is electricity cost and Peak to Average Ratio (PAR) minimization. Simulation results show that our optimization schemes reduce the total electricity cost and peak to average ratio by shifting the load from on peak hours to off peak hours. Results show that BFA performs better than SBA regarding electricity cost minimization. However, a trade-off always exists between cost and user comfort.

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Authors and Affiliations

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

    Hasan Nasir Khan, Hina Iftikhar, Salma Asif, Rubab Maroof, Khadija Ambreen & Nadeem Javaid

Authors
  1. Hasan Nasir Khan
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  2. Hina Iftikhar
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  3. Salma Asif
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  4. Rubab Maroof
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  5. Khadija Ambreen
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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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Khan, H.N., Iftikhar, H., Asif, S., Maroof, R., Ambreen, K., Javaid, N. (2018). Demand Side Management Using Strawberry Algorithm and Bacterial Foraging Optimization Algorithm in Smart Grid. 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_17

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_17

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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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