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Home Energy Management Using Social Spider and Bacterial Foraging Algorithm

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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

Electricity is a controllable and convenient form of energy and it provides power to appliances. As the population of world is increasing, the electricity demand is also increasing which leads to energy crisis. This problem can be control by using Demand Side Management (DSM) and Energy Management Scheduler (EMS). In this paper, we design EMS for residential area using two heuristic algorithms: Bacteria Foraging Algorithm (BFA) and Social Spider Optimization (SSO) algorithm. Our main objectives are to minimize electricity cost and Peak to Average Ratio (PAR). These algorithms help to shift the load from on-peak to off-peak hours. We use Real Time Price (RTP) signal for electricity bill calculation. Simulation results demonstrate that our designed EMS achieved our objectives effectively. SSO perform better in term of PAR and User Comfort (UC).

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Authors and Affiliations

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

    Waqar Ali, Anwar Ur Rehman, Muhammad Junaid, Sayed Ali Asjad Shaukat, Zafar Faiz & Nadeem Javaid

Authors
  1. Waqar Ali
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  2. Anwar Ur Rehman
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  3. Muhammad Junaid
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  4. Sayed Ali Asjad Shaukat
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  5. Zafar Faiz
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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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Ali, W., Ur Rehman, A., Junaid, M., Shaukat, S.A.A., Faiz, Z., Javaid, N. (2018). Home Energy Management Using Social Spider and Bacterial Foraging Algorithm. 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_21

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_21

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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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