Self Healing Power Distribution System

In this study,a design of Multi Agent System(MAS)with distributed intellect for fault localization and isolation(FLI)in power distribution systems with the existence of Distributed Generation Sources(DGS)is suggested.In a Power Distribution System(PDS)with involving,the feature of self-healing,on the occurrence of fault,MAS's agents all over the feeder line interact with each other,with their neighbors,and by using the local differential current information to detect the fault in the zone and isolate that fault.Agents bring up-to-date their local data by interaction with their neighbors current and voltage phasor information and observing the local current quickly detects the fault in the specific zone and parts the faulty section in order to avoid further harm to zones.The distributed generation penetration is also considered.Hierarchical coordination approach is presented to control the agents,which incorporate the benefits of both centralized and decentralized coordination approaches.In this structure MAS is comprised of three different types of agents.Zone Agent(ZA)localizes and separates the faulty section based on the locally accessible info and updates the Feeder Agent with latest information.The strategy is demonstrated by the use of several simulation case studies for fault detection and separation on two sample feeders.The outcomes of the all of the case studies point to the performance of projected MAS designs.The MAS prototypes are simulated in Matlab(?)Simulink with user-defined s-functions and the power system is designed using the Simulink Simpower toolbox.The planned technique has been tested on a sample electrical model consisting of two feeders.Both problematic section and type of fault have been positively recognized.