DocumentCode
3382736
Title
Dynamic communications control for μGrid agents
Author
Frolik, Jeff ; Lentine, Anthony L. ; Seier, Andrew ; Palombini, C.
Author_Institution
Sch. of Eng., Univ. of Vermont, Burlington, VT, USA
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
1
Lastpage
5
Abstract
In this work, we present a robust communication control strategy for source, load and storage agents in a microgrid. In particular, the work is motivated by low inertia microgrid environments having high penetration of stochastic renewable resources and thus ones where high data rate communications is requisite to maintain power system stability. The proposed multi-state automaton-based approach, that assigns communication priorities in relation to an agents´s power impact on the microgrid, is shown to satisfy bandwidth requirements that are several orders of magnitude higher than that of today´s Smart Grid.
Keywords
distributed power generation; power system stability; robust control; smart power grids; μGrid agents; dynamic communication control; high data rate communications; load agents; low inertia microgrid environments; multistate automaton-based approach; power system stability; robust communication control strategy; smart grid; stochastic renewable resources; storage agents; Automata; Bandwidth; Load modeling; Power system stability; Quality of service; Smart grids; Wireless sensor networks; microgrid; smart grid communications;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location
Berlin
ISSN
2165-4816
Print_ISBN
978-1-4673-2595-0
Electronic_ISBN
2165-4816
Type
conf
DOI
10.1109/ISGTEurope.2012.6465612
Filename
6465612
Link To Document