price suggestion unit
peak to average ratio
Subject Categories::G490 Computing Science not elsewhere classified
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AbstractThe 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.
CitationMahmud A, Sant P, Tariq F, Jazani D (2017) 'A real-time monthly DR price system for the smart energy grid', Ozp -Institut fur Staats und Politikwissenschaft-, 4 (13), pp.e3.
PublisherEuropean Alliance for Innovation
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- Creative Commons
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