Name
Abstract | ||
|---|---|---|
Nowadays, the design of smart buildings (micro smart grids) has become one of the major concerns of almost all countries. Relying on clean or renewable energies to power homes, institutions or even factories has become a reality and an inevitable future. However, the distribution of energy stored or obtained must be done in an intelligent way to best serve all the building entities taking into consideration several factors such as: their priorities, nature of activities, the energy required, the duration of daily activity. The Internet of Things (IoT) is one of the primary components for micro smart grids, indeed thanks to IoT we can not only do the tele-survey of the consumption, but especially back up the reports to a controller entity allowing adapt the energy policy of the entire building. As a result, when we talk about a smart building, we are talking about a distributed sensor architecture. The management of these sensors must be done centrally to facilitate: (1) the prediction of the energy to be demanded, (2) the application of new energy balancing policies, (3) and the promotion of a source of energy compared to another depending on the weather conditions. Software-Defined Network (SDN) is an approach to orchestrate from a central point called a controller a set of nodes or devices present in the network and can be perfectly matched to the points previously discussed. Our contribution is in the context of the micro-smart grid, our paper proposes a new architecture for the efficient management and intelligent distribution of electrical energy obtained from all sources of renewable energy by adopting an SDN approach and by exploiting IoT sensors. The architecture is called Micro Smart Grid by Software-Defined Network (MSGSDN). A new algorithm is modeled and developed allowing this intelligent sharing. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.04.095 | Procedia Computer Science |
Keywords | Field | DocType |
Micro smart grid,renewable energies,intelligent sharing,SDN,IoT,smart building,MSGSDN | Data mining,Architecture,Control theory,Renewable energy,Smart grid,Computer science,Energy policy,Electric potential energy,Building automation,Grid,Distributed computing | Conference |
Volume | ISSN | Citations |
151 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Rafik | 1 | 0 | 0.34 |
| Ayoub Bahnasse | 2 | 0 | 0.68 |
| Azeddine Khiat | 3 | 3 | 3.64 |
| Omar Bouattane | 4 | 11 | 10.43 |
| Hassan Ouajji | 5 | 0 | 2.03 |
| Mohamed El khaili | 6 | 0 | 0.34 |