American Journal of Electrical and Electronic Engineering. 2015, 3(1), 17-21
DOI: 10.12691/AJEEE-3-1-4
Editorial

AFLISR Algorithm Distribution Reliability Fault

Amit Sachan1, and Ashish Ranjan2

1Editorial Board Member, AJEEE

2Arya Engineering College, Jaipur, India

Pub. Date: March 17, 2015

Cite this paper

Amit Sachan and Ashish Ranjan. AFLISR Algorithm Distribution Reliability Fault. American Journal of Electrical and Electronic Engineering. 2015; 3(1):17-21. doi: 10.12691/AJEEE-3-1-4

Abstract

Advanced Fault Location Isolation and Supply Restoration (AFLISR) is describing as the smart brain at the control center, using remotely controllable devices to execute the smart decisions. AFLISR application can improve reliability intensely deprived of compromising safety and asset protection. AFLISR systems that automatically detect faults, isolate the impaired portion of the feeder, and restore as plentiful facility as conceivable within seconds as part of their strategy to accomplish a “self-healing” grid. One problem with these systems is that service restoration is often blocked due to heavy loading on backup feeders. The next generation of automatic restoration systems will yield improvement of further advanced control services that are existence installed as part of the smart grid. After encountering a load transfer limit, the automatic restoration system may initiate schedules to free up capacity on the pretentious feeders so enabling the load transfer to continue. Capacity issue strategies can embrace instigation of petition response schedules, initiation of CVR, and impermanent reduction of fast charging actions for electric vehicles.

Keywords

distribution automation, AFLISR, circuit indicator, voltage/current constraints, multi-agent system

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

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[4]  Song. B, Li. P, Wang. T and Wang. W, (2010), “Multi-agent approach for service restoration of microgrid,” in Proc. 5th IEEE Conf. Indust. Electron. Appl., Taichung, Taiwan, pp. 962-966.