||A Multi-Agent Approach for Distribution System Restoration
||Ravn, Jacob Stig
||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)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||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
Creation date: 2009-05-06
Update date: 2009-08-07