Title :
Multi-agent design for power distribution system reconfiguration based on the artificial immune system algorithm
Author :
Belkacemi, Rabie ; Feliachi, Ali
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fDate :
May 30 2010-June 2 2010
Abstract :
In this paper, a new technique in designing MultiAgent System (MAS) for power system reconfiguration and restoration is proposed. The designed MAS system is based on mimicking the human immune system behavior. The Immune system is a natural intelligent MAS where different components interact to heal the body. Similarly, the proposed multi-agent system is designed to detect and isolate faults, and restore power to the affected loads taking into consideration line capacity, voltage profile and power losses. The proposed approach is demonstrated on a model of Southern California Edison´s Circuit of the Future.
Keywords :
fault diagnosis; multi-agent systems; power distribution faults; power engineering computing; power system restoration; MAS; artificial immune system algorithm; multiagent system; power distribution system; power system reconfiguration; power system restoration; Algorithm design and analysis; Artificial immune systems; Artificial intelligence; Electrical fault detection; Humans; Immune system; Multiagent systems; Power distribution; Power system faults; Power system restoration; Immune System; Multi-agent system; Neural Network; Reconfiguration and Restoration; Smart grid;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537841
