DocumentCode
2672877
Title
Development a BDI-Based Intelligent Agent Architecture for Distribution Systems Restoration Planning
Author
Pan, Yen-Tsung ; Tsai, Men-Shen
Author_Institution
Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear
2009
fDate
8-12 Nov. 2009
Firstpage
1
Lastpage
6
Abstract
The configuration of a power distribution system can be altered by changing the status of switches on the feeders. When a fault occurred on a distribution system feeder, the faulted section is isolated by opening the switches adjacent to the fault. When the fault is isolated, the system is reconfigured so the outage areas due to the fault can be re-energized. In this paper, a BDI (believe-desire-intension)-based multi-agent architecture is proposed. The agents can response to the changes of the environment and take necessary conversation with other agents to reach the final goal, supplying services to all de-energized customers. These agents act independently but co-operatively. Decision tree is used in the proposed agent architecture for making restoration plan. Decision trees are built during the restoration process based on the fault location and load conditions through communications between agents. By using the decision tree, a more robust decision can be achieved by agents. Simulation results show that the proposed BDI-based agent architecture is capable of proposing adequate restoration plan as expected.
Keywords
decision trees; fault location; multi-agent systems; power distribution faults; power distribution planning; power engineering computing; power system restoration; BDI-based intelligent agent architecture; believe-desire-intension; decision tree; distribution system feeder; distribution systems restoration planning; fault location; load conditions; multiagent architecture; power distribution system; Automation; Bandwidth; Computer architecture; Condition monitoring; Decision trees; Fault detection; Intelligent agent; Power distribution; Power system restoration; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location
Curitiba
Print_ISBN
978-1-4244-5097-8
Electronic_ISBN
978-1-4244-5098-5
Type
conf
DOI
10.1109/ISAP.2009.5352961
Filename
5352961
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