dc.contributor.advisor |
Hemapala, KTMU |
|
dc.contributor.author |
Panagoda, AI |
|
dc.date.accessioned |
2015-09-16T09:26:14Z |
|
dc.date.available |
2015-09-16T09:26:14Z |
|
dc.date.issued |
2015-09-16 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/11351 |
|
dc.description.abstract |
Power distribution network reduces its reliability during the fault localization, isolation and network reconfiguration. High voltage and medium voltage distribution system fault localization process consumes more time and network reconfiguration get complex when there are more interconnections. Therefore the objective of the research is to provide a methodological approach for the fault restoration problem in power distribution network of Sri Lankan using the de-centralized approach. Agent based solution was implemented with Multi Agent System (MAS) to address above issue and the system is characterized de-centralized nature and easily expandable nature. The system comprises with Application layer, Interface layer and communication layer. The application layer was developed using Java Agent Development Environment (JADE). The interface layer and the communication layer are tie together to confirm physical integration and which enables to use modern communication techniques with the system application. The MAS based decentralized system can be applied to improve the reliability of Sri Lankan power distribution network. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
MSc in Industrial Automation |
|
dc.subject |
ELECTRICAL ENGINEERING-Thesis |
|
dc.subject |
INDUSTRIAL AUTOMATION-Thesis |
|
dc.subject |
FAULT LOCALIZATION-Power distribution |
|
dc.subject |
Power distribution network |
|
dc.title |
A Fault localization and restoration of distribution network using a multi agent based system |
en_US |
dc.type |
Thesis-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc in Industrial Automation |
en_US |
dc.identifier.department |
Department of Electrical Engineering |
en_US |
dc.date.accept |
2015 |
|
dc.identifier.accno |
108988 |
en_US |