Power distribution system fault monitoring device for supply networks in Nigeria

Abstract

Electric power is the bedrock of our modern way of life. In Nigeria, power supply availability, sufficiency and reliability are major operational challenges. At the generation and transmission level, effort is made to ensure status monitoring and fault detection on the power network, but at the distribution level, particularly within domestic consumer communities there are no fault monitoring and detection devices except for HRC fuses at the feeder pillar. Unfortunately, these fuses are sometimes replaced by a copper wire bridge at some locations rendering the system unprotected and creating a great potential for transformer destruction on overload. This study is focused on designing an on-site power system monitoring device to be deployed on selected household entry power cables for detecting and indicating when phase off, low voltage, high voltage, over current, and blown fuse occurs on the building’s incomer line. The fault indication will help in reducing troubleshooting time and also ensure quick service restoration. After design implementation, the test result confirms design accuracy, device functionality and suitability as a low-cost solution to power supply system fault monitoring within local communities.

Simulink model of transformer differential protection using phase angle difference based algorithm

“…Those ways could achieve major success concerning their applications if the transformer terminal voltage measured and the measurement process will be quite costly [13]. Additionally, computational burden on the differential relay would be increased so that causes a slow motion in winding short circuits [14][15][16].…”

Prediction of the voltage status of a three-phase induction motor using data mining algorithms

“…This makes it important to ensure that power systems are adequately monitored, not just by the power distribution company but also within industries. Power quality monitoring will enable establishments to be aware when significant supply variations occur [14], in order to deploy adequate interventions toward preventing power-quality induced process reliability issues.…”