Beta 1


Title A Multi-Agent Approach for Distribution System Restoration
Author Ravn, Jacob Stig
Supervisor Lind, Morten (Automation, Department of Electrical Engineering, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Saleem, Arshad (Electric Power Engineering, Department of Electrical Engineering, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Bachelor thesis
Year 2008
Abstract This report documents the work carried out during the spring semester 2008. The project deals with the application of a multi agent system (MAS) for service restoration in distribution power systems. In this project, the part of the service restoration process which deals with restoring power to consumers in case of an outage, is considered. A restoration strategy based on agent technology has been formulated. This strategy proposes a method for prioritizing certain consumers as part of the restoration process. A multi agent system has been developed in JADE, a software framework specifically suited for the development of agent software systems. A simple distribution network has been used as basis for simulating the operation of the MAS. In order to verify the capability of the MAS software, it has been tested with two kinds of fault scenarios occurring in the distribution network. During the project it has also been considered how to connect a MAS developed in JADE with a model of a physical network. The motivation for this has been the potential for simulating the interaction between the MAS in JADE and a realistic physical model of a distribution network. Matlab Simulink has been used to build a model of a physical network and a communication between Matlab and JADE has been established. The results of this project have been a demonstration of a multi agent system as an approach to power service restoration. The MAS has been seen to perform successfully to different fault scenarios. Thus, it has been demonstrated how FIPA protocols and ontologies can be utilized in a multi agent system to add intelligence to the service restoration process.
Fulltext
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Admin Creation date: 2009-05-06    Update date: 2009-08-07    Source: dtu    ID: 242437    Original MXD