DocumentCode :
3100667
Title :
Intelligent Distributed Autonomous Power Systems (IDAPS)
Author :
Rahman, Saifur ; Pipattanasomporn, Manisa ; Teklu, Yonael
Author_Institution :
Adv. Res. Inst. of Virginia Tech, Arlington, VA
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
The electric power system is an enabling infrastructure that supports the operation of other critical infrastructures and thus the economic well-being of a nation. It is, therefore, very important to design for resiliency and autonomous reconfigurability in the electric power grid to guard against man-made and natural disasters. One way to assure such self-healing characteristics in an electric power system is to design for small and autonomous subsets of the larger grid. This paper presents the concept of a specialized microgrid called an intelligent distributed autonomous power system (IDAPS). The IDAPS microgrid aims at intelligently managing customer-owned distributed energy resources such that these assets can be shared in an autonomous grid both during normal and outage operations. The proposed concept is expected to make significant contributions during emergency conditions, as well as creating a new market for electricity transaction among customers.
Keywords :
knowledge based systems; power engineering computing; power grids; power system security; IDAPS microgrid; autonomous reconfigurability; autonomous subsets; distributed energy resources; electric power grid; emergency power supply; intelligent distributed autonomous power systems; self-healing characteristics; Context modeling; Density estimation robust algorithm; Energy management; Energy resources; Intelligent agent; Intelligent structures; Power industry; Power system management; Power system simulation; Power systems; Intelligent Distributed Autonomous Power System (IDAPS); agent-based technology; intelligent microgrid; web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.386043
Filename :
4275809
Link To Document :
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