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Multi-Agent Based Fault Localizationand Isolation in Active DistributionNetworks
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Liberalized electricity markets, increased awareness of clean energy resources and theirdecreasing costs have resulted in large numbers of distributed power generators beinginstalled on distribution network. Installation of distributed generation has altered thepassive nature of distribution grid. A concept of Active Distribution Network is proposedwhich will enable present day infrastructure to host renewable energy resources reliably.Fault management that includes fault localization, isolation and service restoration ispart of active management of distribution networks.This thesis aims to introduce a distributed protection methodology for fault localizationand isolation. The objective is to enhance reliability of the network. Faults are identifiedbased on root mean square values of current measurements and by comparing thesevalues with preset thresholds. The method based on multi-agent concept can be usedto locate the faulty section of a distribution network and for selection of faulty phases.The nodal Bus Agent controls breakers that are associated with it. Based on indicationof fault, adjacent bus Agents communicate with each other to identify location of fault.A trip signal is then issued to corresponding Breakers in adjacent Bus Agents, isolatingthe faulty section of line. A case study was carried out to verify suitability of the proposedmethod. A meshed network model and multi-agent based protection scheme wassimulated in Simulink SimPowerSystems. Considering nature of Distribution Network,separate breakers for each phase are considered. The distribution network protectionsystem identified fault introduced in the network correctly along with interrupting thefault current.Keywords

Place, publisher, year, edition, pages
2015. , 75 p.
EES Examensarbete / Master Thesis, XR-EE-ICS 2015:004
Keyword [en]
Distributed Energy Resources, Active Distribution Network, Fault Localization and Isolation, Multi-Agent, MATLAB-SimPowerSystems, Distribution Network Protection.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-169221OAI: diva2:820607
Available from: 2015-11-10 Created: 2015-06-12 Last updated: 2015-11-10Bibliographically approved

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Electrical Engineering, Electronic Engineering, Information Engineering

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