DocumentCode
1744611
Title
Modeling the grid as a customer-driven system: emerging challenges and opportunities for self-healing infrastructures
Author
Tsoukalas, Lefteri H.
Author_Institution
Purdue Univ., West Lafayette, IN, USA
Volume
1
fYear
2001
fDate
28 Jan-1 Feb 2001
Abstract
Summary form only given, as follows. The Consortium for the Intelligent Management of the Electric Power Grid (CIMEG) is developing a new theoretical approach to modeling the deregulated power grid as a customer-driven system. The approach is demonstrated through TELOS, an agent-based anticipatory system that is under development in the service areas of ComEd and TVA. When the grid is viewed through the temporal behavior of customers several possibilities for defensive and ameliorative strategies become easy to implement in an efficient and reliable manner. Yet, new modeling, identification and prediction challenges emerge. The authors present new contributions and give a status report on the CIMEG´s accomplishments and work in progress
Keywords
electricity supply industry; power system analysis computing; power system identification; software agents; Consortium for the Intelligent Management of the Electric Power Grid; TELOS agent-based anticipatory system; USA; customer-driven system; deregulated power grid; emerging challenges; grid modelling; identification; modeling; prediction; self-healing infrastructures; temporal customer behavior; Energy management; Power grids; Power system management; Power system modeling; Power systems; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Winter Meeting, 2001. IEEE
Conference_Location
Columbus, OH
Print_ISBN
0-7803-6672-7
Type
conf
DOI
10.1109/PESW.2001.917024
Filename
917024
Link To Document