Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids

Sensors

MayconLeone M. Peixoto¹  EricBernardes C. Barros¹  BrunoGuazzelli Batista²  BrunoTardiole Kuehne²  DionísioMachado L. Filho³ 

[1] Computer Department, Federal University of Bahia (UFBA), Salvador 40170110, Brazil;Computer Department, Federal University of Itajuba (UNIFEI), Itajuba 37500903, Brazil;Computer Department, Federal University of MS (UFMS), Ponta Pora 79907414, Brazil;

关键词: smart grid;    microgrid;    fog;    cloud;    energy distribution model;    power grid;    performance evaluation;   

DOI  :  10.3390/s19112642

来源: DOAJ

【 摘 要 】

Energy advancement and innovation have generated several challenges for large modernized cities, such as the increase in energy demand, causing the appearance of the small power grid with a local source of supply, called the Microgrid. A Microgrid operates either connected to the national centralized power grid or singly, as a power island mode. Microgrids address these challenges using sensing technologies and Fog-Cloudcomputing infrastructures for building smart electrical grids. A smart Microgrid can be used to minimize the power demand problem, but this solution needs to be implemented correctly so as not to increase the amount of data being generated. Thus, this paper proposes the use of Fog computing to help control power demand and manage power production by eliminating the high volume of data being passed to the Cloud and decreasing the requests’ response time. The GridLab-d simulator was used to create a Microgrid, where it is possible to exchange information between consumers and generators. Thus, to understand the potential of the Fog in this scenario, a performance evaluation is performed to verify how factors such as residence number, optimization algorithms, appliance shifting, and energy sources may influence the response time and resource usage.

【 授权许可】

Unknown