Title :
Performance Evaluation of Multiagent Systems for Navy Shipboard Power System Restoration
Author :
Chun-Lien Su ; Cong-Kai Lan ; Tso-Chu Chou ; Ching-Jin Chen
Author_Institution :
Dept. of Marine Eng., Nat. Kaohsiung Marine Univ., Kaohsiung, Taiwan
Abstract :
A multiagent-based feeder automation system is developed for the service restoration of power systems in a navy ship after fault contingencies. In the system, power-electronic-building-block agents of the multiagent system (MAS) are used to derive the proper restoration plan after the faulted location is identified and isolated. To assure that the restoration plan complies with operation regulation, heuristic rules based on standard operation procedures of the shipboard power system (SPS) are included in the best first search of the MAS. Two control schemes for SPS restoration are investigated, and their performances are evaluated and compared using a discrete event simulation technique with respect to restoration time. For fault contingency when the capacity reserves of supporting feeders are not enough to cover the fault restoration, the load shedding strategy is derived for the MAS to restore service power to as many key loads as possible. A navy SPS with 72 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology. The study concludes that, to cover feeder automation functions, a MAS with distributed processing capability provides better reliability performance than the centralized control.
Keywords :
discrete event simulation; distributed control; load shedding; marine power systems; multi-agent systems; power system control; power system faults; power system planning; power system restoration; MAS; SPS restoration; centralized control; control schemes; discrete event simulation technique; distributed processing capability; fault contingency; fault restoration; feeder automation functions; heuristic rules; load shedding strategy; multiagent-based feeder automation system; navy SPS; navy shipboard power system restoration; power-electronic-building-block agents; restoration plan; restoration time; service power; service restoration; standard operation procedures; Circuit faults; Generators; Indexes; Marine vehicles; Power systems; Switches; Discrete event simulation technique; Discrete-event simulation technique; Industrial power systems; Intelligent agent interaction; Marine vehicle power systems; Power electronics; Power system restoration; industrial power systems; intelligent agent interaction; marine vehicle power systems; power electronics; power system restoration;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2015.2394375