Title :
Distributed Power Balancing for the FREEDM System
Author :
Akella, Ravi ; Meng, Fanjun ; Ditch, Derek ; McMillin, Bruce ; Crow, Mariesa
Author_Institution :
Dept. of Comput. Sci., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
The FREEDM microgrid is a test bed for a smart grid integrated with Distributed Grid Intelligence (DGI) to efficiently manage the distribution and storage of renewable energy. Within the FREEDM system, DGI applies distributed algorithms in a unique way to achieve economically feasible utilization and storage of alternative energy sources in a distributed fashion. The FREEDM microgrid consists of residential or industrial nodes with each node running a portion of the DGI process called Intelligent Energy Management (IEM). Such IEM nodes within FREEDM coordinate among themselves to efficiently and economically manage their power generation, utility and storage. Among a variety of services offered by the DGI, the Power Balancing scheme optimizes the distribution of power generation and storage among the IEMs. This paper presents the key aspects in implementing such a scheme and outlines the preliminary results obtained by integrating the proposed methodology with a functional SST model of FREEDM. The results demonstrate the potential benefits of adopting advanced ´smart´ technology on a local grid.
Keywords :
distributed algorithms; distributed power generation; energy management systems; power generation economics; smart power grids; FREEDM microgrid system; IEM nodes; distribuated power balancing scheme; distributed algorithms; distributed grid intelligence; energy sources storage; functional SST model; intelligent energy management; power generation economics; renewable energy; smart grid; Approximation algorithms; Batteries; Biological system modeling; Load modeling; Mathematical model; Peer to peer computing; Renewable energy resources;
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
Conference_Location :
Gaithersburg, MD
Print_ISBN :
978-1-4244-6510-1
DOI :
10.1109/SMARTGRID.2010.5622003