Authors :
Sushma Maney.D, Eranna
Volume/Issue :
Volume 2 - 2017, Issue 5 - May
Google Scholar :
https://goo.gl/xmN274
Scribd :
https://goo.gl/9BaI2n
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
This paper presents an energy management system to effectively mitigate grid power profile fluctuations. The system assumes that neither renewable generation nor the load demand is controllable. This energy management system consists of a low complexity Fuzzy Logic Controller embedded with 25 rules in it. The approach is, monitoring rate of change in energy and State of Charge (SOC) of battery thus controlling the power delivered/absorbed by the grid.
Keywords :
Distributed power generation, energy management, fuzzy control, micro grid, Renewable energy sources and smart grid.
This paper presents an energy management system to effectively mitigate grid power profile fluctuations. The system assumes that neither renewable generation nor the load demand is controllable. This energy management system consists of a low complexity Fuzzy Logic Controller embedded with 25 rules in it. The approach is, monitoring rate of change in energy and State of Charge (SOC) of battery thus controlling the power delivered/absorbed by the grid.
Keywords :
Distributed power generation, energy management, fuzzy control, micro grid, Renewable energy sources and smart grid.