A Relevant Fuzzy Logic Algorithm to Better Optimize Electricity Consumption in Individual Housing

Abstract : In this article, a Fuzzy Logic algorithm (MATLAB environment) is descripted to better predict and manage electricity consumption in individual housing. Several measurements were performed in 3 houses to have an idea of typical electrical energy consumptions. Without any prediction model, the simulation results of the management system exhibit that it is not possible to smooth all peak demands. In particular, this smoothing is in chronological sequence. Using the prediction and management modeling, the highest peak demands can be forecasted. As a consequence, if the house is composed of a storage system, all stored electricity can be reinjected during the highest peak periods. Finally, the system proposed here provides safety guarantees, and particularly during AC-line disconnection.
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Submitted on : Friday, April 7, 2017 - 11:35:07 AM
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Sebastien Bissey, Sebastien Jacques, Jean-Charles Le Bunetel. A Relevant Fuzzy Logic Algorithm to Better Optimize Electricity Consumption in Individual Housing. INTERNATIONAL CONFERENCE ON RENEWABLE ENERGIES AND POWER QUALITY (ICREPQ'17), European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). University of Vigo, Spain. University of Málaga, Spain, Apr 2017, Málaga, Spain. ⟨hal-01503553⟩

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