Open AccessA Review on Renewable Energy Sources in Microgrid
Author(s) -
Navreet Kaur Grewal
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11565
Subject(s) - microgrid , renewable energy , computer science , electric power , electric power system , risk analysis (engineering) , reliability engineering , engineering , power (physics) , electrical engineering , business , physics , quantum mechanics
The utilization of RES to address electrical energy requirements is gaining traction as a potential solution to this issue of electrical energy shortages. The use of renewable energy sources in electrical generation systems is done in a variety of ways, including in microgrid systems. Microgrid technologies have massive benefits for both the user as well as the electric utility provider. There has been a lot of microgrid development in numerous nations since micro grids have a lot of benefits, such as higher power quality and being more ecologically friendly. Power generation, microgrid architecture, power electronics, control systems, and security devices are all areas of microgrid innovation. In this paper, it is demonstrated that persistence as well as artificial neural networks have certain qualities that make them useful to investigators of controllers at various levels of control that micro grids must have in order to be cost-effective, productive, as well as capable of meeting energy power quality and quantity requirements. Keywords: Renewable energy sources, Microgrid, persistence, Artificial Neural Network