NDLI: Application of multi-agents for fault detection and reconfiguration of power distribution systems

Content Provider	IEEE Xplore Digital Library
Author	Nareshkumar, K. Choudhry, M.A. Lai, J. Feliachi, A.
Copyright Year	2009
Abstract	The electric power system has become a very complicated network at present because of re-structuring and the penetration of distributed generation and storage. A single fault can lead to massive cascading effects affecting power supply and power quality. An overall systematic solution for these issues could be obtained by an artificial intelligent mechanism called the multi-agent system. This paper presents a multi-agent system model for fault detection and reconfiguration based on graph theory and mathematical programming. The multi-agent models are simulated in Java Agent Development Framework and Matlab¯ and are applied to a power system model designed in the commercial software, the Distributed Engineering Workstation©. The circuit that is used to model the power distribution system is a simplified model of the Circuit of the Future, developed by Southern California Edison. Possible fault cases were tested and a few critical test scenarios are presented in this paper. The results obtained were promising and were as expected.
Starting Page	1
Ending Page	8
File Size	3370712
Page Count	8
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5276005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrical fault detection Power distribution Power system modeling Mathematical model Circuit faults Multiagent systems Power system simulation Circuit testing Distributed control Power supplies Power System Reconfiguration Multi-agent System Fault Detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Real-time multi agent system modeling for fault detection in power distribution systems

Fault location and isolation using multi agent systems in power distribution systems with distributed generation sources

1 application of multi-agents for fault detection and reconfiguration of power distribution systems.

Identifying fault location in distribution systems with high Distributed Generation penetration

Framework for Multi-Agent System (MAS) Detection and Control of Arcing of Shipboard Electric Power Systems

A Multi-Agent Based Service Restoration in Distribution Network with Distributed Generations

Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system

Intelligent reconfiguration of smart distribution network using multi-agent technology

Multi-agent design for power distribution system reconfiguration based on the artificial immune system algorithm

Application of multi-agents for fault detection and reconfiguration of power distribution systems

Similar Documents

Real-time multi agent system modeling for fault detection in power distribution systems

Fault location and isolation using multi agent systems in power distribution systems with distributed generation sources

1 application of multi-agents for fault detection and reconfiguration of power distribution systems.

Identifying fault location in distribution systems with high Distributed Generation penetration

Framework for Multi-Agent System (MAS) Detection and Control of Arcing of Shipboard Electric Power Systems

A Multi-Agent Based Service Restoration in Distribution Network with Distributed Generations

Application of multi-agent and particle swarm optimization in network reconfiguration of ship power system

Intelligent reconfiguration of smart distribution network using multi-agent technology

Multi-agent design for power distribution system reconfiguration based on the artificial immune system algorithm

Application of multi-agents for fault detection and reconfiguration of power distribution systems