DocumentCode
1848570
Title
Multi-agent systems for grid energy management: A short review
Author
Roche, R. ; Blunier, B. ; Miraoui, A. ; Hilaire, V. ; Koukam, A.
Author_Institution
Syst. & Transp. Lab., Univ. of Technol. Belfort Montbeliard, Belfort, France
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
3341
Lastpage
3346
Abstract
The electric grid is currently undergoing important changes: it is evolving from an entirely centralized structure to a decentralized one, mainly due to the massive development of distributed renewable energy sources. This evolution toward what we now call the smart grid requires new control methods. These methods must be able to withstand new requirements, such as the highly distributed nature of the grid, the ability to run in islanding mode, the intermittency of renewable energy sources and the limited bandwidth for communications. Multi-agent systems (MAS) have characteristics that meet these requirements. In contrary to classical analytical methods, the grid is considered as a collection of simple entities called agents corresponding to sources, loads and other components, evolving in a given environment. A certain degree of distributed or collective intelligence can be achieved through the interaction of these agents with each other, cooperating or competing to reach their goals. This article is a short review of several multi-agent systems published in the literature and used for grid energy management. It presents a number of concepts and experiments used by researchers to apply this promising method. Various approaches and their results are compared, in order to give the reader a global perspective of the state of the art in this precise domain.
Keywords
energy management systems; multi-agent systems; renewable energy sources; smart power grids; collective intelligence; distributed intelligence; distributed renewable energy sources; electric grid; grid energy management; islanding mode; multiagent systems; smart grid; Forecasting; Generators; Multiagent systems; Renewable energy resources; Smart grids; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Glendale, AZ
ISSN
1553-572X
Print_ISBN
978-1-4244-5225-5
Type
conf
DOI
10.1109/IECON.2010.5675295
Filename
5675295
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