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A real-time monthly DR price system for the smart energy grid

  • Asm Mahmud
    ,
  • Paul Sant
    ,
  • Faisal Tariq
    ,
  • David Jazani
  • Queen Mary University of London
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Abstract

The smart grid is the next generation bidirectional modern grid. Energy users' are keen on reducing their bill and energy suppliers are also keen on reducing their industrial cost. Our demand response model would benefit them both. We have tested our model with the UK based traditional price value using a real-time basis. Energy users significantly reduced their bill and energy suppliers reduced their industrial cost due to load shifting. The Price Control Unit (PCU) and Price Suggestions Unit (PSU) utilise and embedded algorithms to vary price based upon demand. Our model makes suggestions based on energy threshold and makes use of stochastic approximation methods to produce prices. Our results shows that bill and peak load reductions benefit both the energy provider and users. This model also addresses users' preferences, if users are non-responsive, they can still reduce their bills.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages e3

Journal (Volume, Issue Number)

Osterreichische Zeitschrift fur Politikwissenschaft (Volume 4, Issue 13)

Publication milestones

  • Accepted/In press - 27/05/2017
  • Published - 03/08/2017

Publication status

Published - 03/08/2017

ISSN

1615-5548

External Publication IDs

  • handle.net: 10547/624220
  • Scopus: 85026784073

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