Analysis Application of Controllable Load Appliances Management in a Smart Home

Gerardo J. Osório, Miadreza Shafie-khah, Gonçalo C. R. Carvalho and João P. S. Catalão
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Gerardo J. Osório: C-MAST, University of Beira Interior, Calcada Fonte Lameiro, 6201-001 Covilha, Portugal
Miadreza Shafie-khah: School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland
Gonçalo C. R. Carvalho: Faculty of Engineering of University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal
João P. S. Catalão: Faculty of Engineering of University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal

Energies, 2019, vol. 12, issue 19, 1-24

Abstract: The residential sector is one of the sectors with the highest rates of electricity consumption worldwide. For years, many studies have been presented in order to minimize energy consumption at the residential level. The idea of such studies is that the residential customer (RC) is the interested party of their own consumption. Moreover, the algorithms that have been developed to predict and manage the energy consumption, also analyze the behavior of the loads, with the objective of minimizing the energy costs, with good safety, robustness, and comfort levels. In the context of the smart house (SH), one of the objectives of smart grids (SGs) is to enable the RC, with home energy management systems (HEM), to actively participate, allowing for higher reliability at different levels. In this work, a new model that simulates the behavior of an SH, considering heating, ventilation and air conditioning (HVAC) and sanitarian water heater (SWH) devices, is presented. For this purpose, the proposed model considers realistic physical parameters of the SH, together with customer comfort, in order to mitigate the RC disinterest. The proposed model considers the electric vehicle (EV), a battery-based energy storage system (ESS), a micro production unit, and different types of tariffs that the RC might choose, aiming to maximize the benefits, and temporarily shifting the proposed loads.

Keywords: controllable load; decision tool; home energy management; residential customer; smart grid; smart house (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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