Title :
Distributed Grid Intelligence for future microgrid with renewable sources and storage
Author :
Meng, Fanjun ; Akella, Ravi ; Crow, Mariesa L. ; McMillin, Bruce
Author_Institution :
Dept. of Electr. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
The FREEDM microgrid is a smart grid solution with Distributed Grid Intelligence (DGI) to efficiently manage the power distribution and storage of renewable energy. Within the FREEDM system, DGI applies distributed control method in a unique way to achieve feasible load balancing in microgrid by migrating power between renewable energy generation and storage at each node. This paper presents the key aspects in implementing such a scheme and outlines the preliminary results obtained by integrating the proposed methodology. The results demonstrate the potential benefits of adopting DGI control on a microgrid.
Keywords :
distributed control; distributed power generation; load regulation; power distribution control; renewable energy sources; smart power grids; DGI control; FREEDM microgrid; distributed control method; distributed grid intelligence; future microgrid; load balancing; power distribution; power storage; renewable energy generation; renewable sources; renewable storage; smart grid solution; Batteries; Mathematical model; Optimization; Peer to peer computing; Renewable energy resources; Smart grids; Distributed Grid Intelligence; Distributed renewable generation; FREEDM; Power migration; Smart grid;
Conference_Titel :
North American Power Symposium (NAPS), 2010
Conference_Location :
Arlington, TX
Print_ISBN :
978-1-4244-8046-3
DOI :
10.1109/NAPS.2010.5618963