Artificial Intelligent Based Distribution Automation of Swift Fault Detection Isolation and Power Restoration for HT Network
1T.Velmurugan, Department of Executive Engineering, Tamil Nadu Electricity Board, Chennai (TamilNadu), India.
2S. Prakash, Professor, Department of Electrical and Electronics Engineering, Bharath Institute of Higher Education and Research, Chennai (TamilNadu), India.
Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 1-6 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60110486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Electric power distribution system plays an vital role in electrical power systems for delivering electricity to end users. Electric Distribution utilities adapted more new techniques in power distribution system to minimize the consumer complaints, outage length and crew response to outages. Traditional fault location detection and isolation methods are time consuming, labour intensive and detrimental to field equipments. The purpose of the automation is to quickly determine the location of faults, isolate them and automatically restore the healthy feeders promptly. Automation of restoration of power supply to healthy network in distribution field allows utilities to implement flexible control of distribution system which can be used to enhance efficiency, reliability and quality of electric service.
Keywords: Traditional Fault Location Detection and Isolation Methods are Time Consuming, Labour Intensive.
Scope of the Article: Computer Architecture and VLSI