Title :
Adaptation of multi-agent systems for power infrastructure defense
Author_Institution :
Washington Univ., WA, USA
fDate :
28 Jan-1 Feb 2001
Abstract :
Summary form only given, as follows. The operating environment of power systems cannot be modeled and predicted precisely. In this research, the author has applied the multi-agent system technology for power infrastructure defense. Each agent in the system has adaptive learning capabilities so that they can adapt to the power system´s vulnerability status. Each agent can update its control parameters or decisions through interactions with the actual power systems. Multiple agents in the system are able to cooperate with one another
Keywords :
electricity supply industry; learning (artificial intelligence); multi-agent systems; power system analysis computing; adaptive learning capabilities; computer simulation; multi-agent systems; operating environment; power infrastructure defense; power systems; vulnerability status; Adaptive systems; Computational modeling; Computer networks; Computer simulation; IP networks; Multiagent systems; Personal communication networks; Power system modeling; Power system simulation; Predictive models;
Conference_Titel :
Power Engineering Society Winter Meeting, 2001. IEEE
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-6672-7
DOI :
10.1109/PESW.2001.917023
