Title :
A Multi-Agent Solution to Distribution Systems Restoration
Author :
Solanki, Jignesh M. ; Khushalani, Sarika ; Schulz, Noel N.
Author_Institution :
Mississippi State Univ., Mississippi
Abstract :
The goal to provide faster and faster restoration after a fault is pushing the technical envelope related to new algorithms. While many approaches use centralized strategies, the concept of multi-agent systems (MAS) is creating a new option related to distributed analyses for restoration. This paper provides details on a MAS that restores a power system after a fault. The development of agents and behaviors of the agents are described, including communication of agents. The MAS is tested on two test systems and facilitates both full and partial restoration, including load prioritization and shedding.
Keywords :
load shedding; multi-agent systems; power distribution faults; power engineering computing; power system restoration; distribution systems restoration; load prioritization; load shedding; multiagent systems; partial restoration; Automation; Intelligent agent; Knowledge based systems; Multiagent systems; Power system analysis computing; Power system faults; Power system restoration; Software agents; Switches; System testing; Decentralized solution; intelligent agents; multi-agent system (MAS);
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2007.901280