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Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing

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Book cover Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (PAAMS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 619))

Abstract

This paper has as main objective the performance evaluation of the Gravitational Search Algorithm for Demand Response programs applied to residential consumers. For this purpose, it was considered a model that describes the consumption and energy price, according to the loads present in a residence. This way, it is intended to minimize the cost of electricity for final consumers based on an optimized planning of their loads at different times. In addition, it will be considered a variable cost of electricity over time (hourly price). In this sense, the cost of electricity will be discretized throughout the day. Finally, the performance of the Gravitational Search Algorithm for the considered model will be evaluated.

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Acknowledgements

This paper was supported by FAPESP (grant number 2015/12599-0), CAPES and CNPq.

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Authors and Affiliations

  1. Department of Electrical Engineering, Federal University of Sao Carlos - UFSCar, Sao Carlos, Brazil

    G. Spavieri & R. A. S. Fernandes

  2. Knowledge Engineering and Decision Support Research Center – GECAD, Institute Polytechnic of Porto – IPP, Porto, Portugal

    Z. Vale

Authors
  1. G. Spavieri
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  2. R. A. S. Fernandes
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  3. Z. Vale
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Corresponding author

Correspondence to R. A. S. Fernandes .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Fernando De la Prieta

  2. GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Zita Vale

  3. Department of Informática, Universidade de Lisboa Faculdade de Ciências, Lisboa, Portugal

    Luis Antunes

  4. Facultad de Ciencias, Departamento de Informática y Automática, Salamanca, Spain

    Tiago Pinto

  5. School of Computer Science, Dartmouth College, Hanover, New Hampshire, USA

    Andrew T. Campbell

  6. Departamento de Sistemas Informáticos y Computación, Universidad Politecnica de Valencia, Valencia, Spain

    Vicente Julián

  7. University of Aveiro, Institute of Electronics and Telematics Engineering, Aveiro, Portugal

    Antonio J.R. Neves

  8. Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

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Spavieri, G., Fernandes, R.A.S., Vale, Z. (2018). Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-61578-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61577-6

  • Online ISBN: 978-3-319-61578-3

  • eBook Packages: EngineeringEngineering (R0)

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