Current Volume 5
Electric fault occurs as a result of insulation breakdown in either generation, transmission or distribution system, power systems at various stages experience distinct level of instability which amounts to system unreliability. This research is focused on evaluating electric power faults with the aim of determining its type and effect on the people of Beneku, Abragada and Abor communities in Niger Delta. The 33kV distribution networks in each of the afore-stated communities were duly investigated and classification was based on collated network parameters and fault occurrence. The proceed of the evaluation justified and validated the fact that single line to ground fault (SLGF) is the most prevalent and three phase balanced fault is least prevalent in power systems analysis. The numerical method of Newton-Raphson was used to determine the fault currents and line impedances of the respective feeders based on phases, while electrical transient analyzer program (ETAP) simulation software was used to implement all the analysis conducted. The magnitude of the fault current for SLGF on phase A for Beneku, Abragada and Abor communities were found be 0.452?-77.3°kA, 0.380?-76.2°kA and 0.482?-77.8°kA with zero line impedances. Upon successful evaluation and classification, it was observed that the people of Beneku, Abragada and Abor communities suffer long and frequent power outage as a result of time lag in fault location identification. As a way of curbing this menace, the low resistance method of fault location identifier technique was suggested due to its cost effectiveness to enable electrical engineers tackle fault problem as quick as possible.
Electrical Transient Analyzer Program (ETAP) Software, single line to ground fault, line impedances, power outage.
Ayobo, P. S. , Idoniboyeobu, D. C. , Braide, S. L. "Electric Power Faults Evaluation on 33KV Distribution Network" Iconic Research And Engineering Journals Volume 4 Issue 5 2020 Page 24-29
Ayobo, P. S. , Idoniboyeobu, D. C. , Braide, S. L. "Electric Power Faults Evaluation on 33KV Distribution Network" Iconic Research And Engineering Journals, 4(5)