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Residential Demand Response Algorithms: State-of-the-Art, Key Issues and Challenges

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Wireless and Satellite Systems (WiSATS 2015)

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Abstract

Demand Response (DR) in residential sector is considered to play a key role in the smart grid framework because of its disproportionate amount of peak energy use and massive integration of distributed local renewable energy generation in conjunction with battery storage devices. In this paper, first a quick overview about residential demand response and its optimization model at single home and multi-home level is presented. Then a description of state-of-the-art optimization methods addressing different aspects of residential DR algorithms such as optimization of schedules for local RE based generation dispatch, battery storage utilization and appliances consumption by considering both cost and comfort, parameters uncertainty modeling, physical based dynamic consumption modeling of various appliances power consumption at single home and aggregated homes/community level are presented. The key issues along with their challenges and opportunities for residential demand response implementation and further research directions are highlighted.

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Authors and Affiliations

  1. Electrical Engineering, Indian Institute of Technology Gandhinagar, Ahmedabad, 382424, Gujarat, India

    Rajasekhar Batchu & Naran M. Pindoriya

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  1. Rajasekhar Batchu
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  2. Naran M. Pindoriya
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Correspondence to Naran M. Pindoriya .

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Editors and Affiliations

  1. Faculty of Engineering and Informatics, University of Bradford, Bradford, United Kingdom

    Prashant Pillai

  2. Faculty of Engineering and Informatics, University of Bradford, Bradford, United Kingdom

    Yim Fun Hu

  3. Faculty of Computing, Engineering and Science, University of South Wales, Cardiff, United Kingdom

    Ifiok Otung

  4. University of Siena, Siena, Italy

    Giovanni Giambene

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© 2015 Institute for Computer Sciences, Social informatics and Telecommunication Engineering

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Batchu, R., Pindoriya, N.M. (2015). Residential Demand Response Algorithms: State-of-the-Art, Key Issues and Challenges. In: Pillai, P., Hu, Y., Otung, I., Giambene, G. (eds) Wireless and Satellite Systems. WiSATS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-319-25479-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-25479-1_2

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