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Abstract- In Nigerian power distribution line system, the indiscriminate occurrence of faults along the different distribution lines has become a serious concern that requires urgent attention. Every occurrence of fault usually results to either a total downtime/blackout or voltage and current drop which affect economic and social activities of the country. An efficient fault detection system was developed with the assistance of available high level technology. The construction of the fault detection monitoring system was done using a number of components such as Arduino microcontroller, resistors, connectors, current sensors, voltage sensors, opto-coupler, voltage regulators, capacitors, 12V step-down, bridge rectifier, plastic PVC pipes, switch and fuse. The voltage and current values of the distribution line were classified and categorized using range of values in the program written into the microcontroller so as to display detected fault with the precise location. The fault detection monitoring system provides accurate information which are being constantly transmitted through WiFi interface and displayed in real-time with refresh rate of 3 seconds at the desired control center of the managing company.
Keywords:
Keywords: power distribution, Fault detection, voltage and current readings, and automated approach
Cite Article:
"Design and Implementation of an Automated Real-Time Power Distribution Line Monitoring System: A Case Study of Nigerian Power System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.128 - 133, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211021.pdf
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000205077
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator