Research Article
A Real-Time monthly DR Price system for the Smart Energy Grid
@ARTICLE{10.4108/eai.3-8-2017.152981, author={ASM Ashraf Mahmud and Paul Sant and Faisal Tariq and David Jazani}, title={A Real-Time monthly DR Price system for the Smart Energy Grid}, journal={EAI Endorsed Transactions on Energy Web}, volume={4}, number={13}, publisher={EAI}, journal_a={EW}, year={2017}, month={8}, keywords={smart grid, real-time, price, demand response, stochastic process, user preference, peak to average ratio, price suggestion unit}, doi={10.4108/eai.3-8-2017.152981} }- ASM Ashraf Mahmud
Paul Sant
Faisal Tariq
David Jazani
Year: 2017
A Real-Time monthly DR Price system for the Smart Energy Grid
EW
EAI
DOI: 10.4108/eai.3-8-2017.152981
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.
Copyright © 2017 Mahmud, A et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
