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Cost and Comfort Based Optimization of Residential Load in Smart Grid

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Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

Abstract

In smart grid, several optimization techniques are developed for residential load scheduling purpose. Preliminary all the conventional techniques aimed at minimizing the electricity consumption cost. This paper mainly focuses on minimization of electricity cost and maximization of user comfort along with the reduction of peak power consumption. We develop a multi-residential load scheduling algorithm based on two heuristic optimization techniques: genetic algorithm and binary particle swarm optimization. The day-ahead pricing mechanism is used for this scheduling problem. The simulation results validate that the proposed model has achieved substantial savings in electricity bills with maximum user comfort. Moreover, results also show the reduction in peak power consumption. We analyzed that user comfort has significant effect on electricity consumption cost.

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Authors and Affiliations

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

    Fahim Ahmed, Nadeem Javaid, Awais Manzoor, Malik Ali Judge & Fozia Feroze

  2. Higher Colleges of Technology, Fujairah Campus, Fujairah, 4114, UAE

    Zahoor Ali Khan

Authors
  1. Fahim Ahmed
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  2. Nadeem Javaid
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  3. Awais Manzoor
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  4. Malik Ali Judge
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  5. Fozia Feroze
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  6. Zahoor Ali Khan
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Computer Sciences, Hubei University of Technology, Wuhan, China

    Mingwu Zhang

  3. Department of Electronic Technology, Key, Engineering University of CAPF, Xi’an, Xizang, China

    Xu An Wang

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© 2018 Springer International Publishing AG

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Ahmed, F., Javaid, N., Manzoor, A., Judge, M.A., Feroze, F., Khan, Z.A. (2018). Cost and Comfort Based Optimization of Residential Load in Smart Grid. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_56

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59462-0

  • Online ISBN: 978-3-319-59463-7

  • eBook Packages: EngineeringEngineering (R0)

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