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Real-Time Implementation of Demand Response Programs Based on Open ADR Technology

  • Omid Abrishambaf
  • Pedro FariaEmail author
  • Zita Vale
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 619)

Abstract

In the Demand Response (DR) concepts, we witness several barriers that need to be addressed such as, data transferring from promoting entities to demand side. The Open Automated Demand Response (Open ADR) standard specification is a solution for overcoming these barriers. This PhD work proposes a real business model for DR implementation based on Open ADR technology.

References

  1. 1.
    Faria, P., et al.: Demand response management in power systems using particle swarm optimization. IEEE Intell. Syst. 28(4), 43–51 (2013)CrossRefGoogle Scholar
  2. 2.
    Abrishambaf O., et al.: Real-time simulation of renewable energy transactions in microgrid context using real hardware resources. In: 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) (2016)Google Scholar
  3. 3.
    Samad, T., et al.: Automated demand response for smart buildings and microgrids: the state of the practice and research challenges. Proc. IEEE 104(4), 726–744 (2016)CrossRefGoogle Scholar
  4. 4.
    Faria, P., et al.: Demand response programs design and use considering intensive penetration of distributed generation. Energies 8(6), 6230–6246 (2015)CrossRefGoogle Scholar
  5. 5.
    About OpenADR (2017). http://www.openadr.org/overview
  6. 6.
    Althaher, S., et al.: Automated demand response from home energy management system under dynamic pricing and power and comfort constraints. IEEE Trans. Smart Grid 6(4), 1874–1883 (2015)CrossRefGoogle Scholar
  7. 7.
    McParland, C.: OpenADR open source toolkit: developing open source software for Smart Grid. In: 2011 IEEE Power and Energy Society General Meeting (2011)Google Scholar
  8. 8.
    EPRI OpenADR. http://www.epri.com. Accessed Jan 2017

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.GECAD – Knowledge Engineering and Decision-Support Research CenterInstitute of Engineering – Polytechnic of Porto (ISEP/IPP)PortoPortugal

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