scholarly journals A review on Multi-Agent system based energy management systems for micro grids

AIMS Energy ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 924-943 ◽  
Author(s):  
HVV Priyadarshana ◽  
◽  
MA Kalhan Sandaru ◽  
KTMU Hemapala ◽  
WDAS Wijayapala
2018 ◽  
Vol 29 (4) ◽  
pp. e2790 ◽  
Author(s):  
Emad G. Shehata ◽  
Maged S. Gaber ◽  
Khalil Ali Ahmed ◽  
Gerges M. Salama

2015 ◽  
Vol 4 (3) ◽  
pp. 49-59
Author(s):  
Wahiba Ben Abdessalem ◽  
Sami Karaa ◽  
Amira S. Ashour

Renewable energy generation (Wind, solar …) is rising rapidly around the world. Energy storage is being today realistic with some kind of variable renewable electricity sources such as the Pumped Hydraulic Storage (PHS). The incorporation of the PHS requires different policies since there are a variety of electric generation technologies that can be exploited commonly with the PHS. The energy management system, the scheduling of the generation units is a crucial problem for which adequate solutions can optimize the energy supply. This paper focuses on the applicability of the PHS technology in the development of renewable energy generation in Tunisia. This paper proposes also a multi agent system that can be implemented to simulate the exploitation of the PHS, commonly with other energy sources: conventional energy, wind energy, photovoltaic energy etc.


Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1647 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Tiago Pinto ◽  
Zita Vale

Smart home devices currently available on the market can be used for remote monitoring and control. Energy management systems can take advantage of this and deploy solutions that can be implemented in our homes. One of the big enablers is smart plugs that allow the control of electrical resources while providing a retrofitting solution, hence avoiding the need for replacing the electrical devices. However, current so-called smart plugs lack the ability to understand the environment they are in, or the electrical appliance/resource they are controlling. This paper applies environment awareness smart plugs (EnAPlugs) able to provide enough data for energy management systems or act on its own, via a multi-agent approach. A case study is presented, which shows the application of the proposed approach in a house where 17 EnAPlugs are deployed. Results show the ability to shared knowledge and perform individual resource optimizations. This paper evidences that by integrating artificial intelligence on devices, energy advantages can be observed and used in favor of users, providing comfort and savings.


Sign in / Sign up

Export Citation Format

Share Document