DocumentCode
2568553
Title
The design of multi-agent based distributed energy system
Author
Lu, Mingzhu ; Chen, C. L Philip
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
2001
Lastpage
2006
Abstract
Considering the environmental, limited traditional natural resources and power demand pressure, there is a great need to involve the distributed energy resources (DER) to the existing central power plant. So this paper proposes the multiagent based distributed energy system, which incorporates traditional central power plant and different DER by using multi-agent system (MAS) technology. A new three layered MAS architecture with good generality is designed, which can be used in small, medium and large scale multi-agent based distributed energy system (MAS-DES). The cluster and super cluster are defined to work as virtual power plants in the medium and large scale case. It also presents the novel architecture for single agent system with learning ability. Moreover, the reliability of multiagent system is assessed by Bayesian statistics. The proposed MAS-DES uses the traditional and renewable resources in a more reasonable way and provides a better solution for the power supply considering the cost, pollution index and reliability.
Keywords
Bayes methods; distributed power generation; learning (artificial intelligence); multi-agent systems; power engineering computing; power plants; Bayesian statistics; central power plant; distributed energy system; learning ability; multiagent system; power generating method; virtual power plant; Bayesian methods; Density estimation robust algorithm; Energy resources; Large-scale systems; Multiagent systems; Power demand; Power generation; Power supplies; Power system reliability; Statistical distributions; distributed energy system; machine learning; multi-agent system; reliability assessment; renewable energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346133
Filename
5346133
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