The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing

Sébastien Bissey, Sébastien Jacques and Jean-Charles Le Bunetel
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Sébastien Bissey: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France
Sébastien Jacques: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France
Jean-Charles Le Bunetel: Research Group on Materials, Microelectronics, Acoustics, and Nanotechnology, University of Tours, 37000 Tours, France

Energies, 2017, vol. 10, issue 11, 1-24

Abstract: Electricity demand shifting and reduction still raise a huge interest for end-users at the household level, especially because of the ongoing design of a dynamic pricing approach. In particular, end-users must act as the starting point for decreasing their consumption during peak hours to prevent the need to extend the grid and thus save considerable costs. This article points out the relevance of a fuzzy logic algorithm to efficiently predict short term load consumption (STLC). This approach is the cornerstone of a new home energy management (HEM) algorithm which is able to optimize the cost of electricity consumption, while smoothing the peak demand. The fuzzy logic modeling involves a strong reliance on a complete database of real consumption data from many instrumented show houses. The proposed HEM algorithm enables any end-user to manage his electricity consumption with a high degree of flexibility and transparency, and “reshape” the load profile. For example, this can be mainly achieved using smart control of a storage system coupled with remote management of the electric appliances. The simulation results demonstrate that an accurate prediction of STLC gives the possibility of achieving optimal planning and operation of the HEM system.

Keywords: demand side management; electricity consumption prediction and management; fuzzy logic algorithm; individual housing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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