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Idoniboyeobu, D. C.
- Failure Analysis of Distribution Transformers - A Case Study of Ughelli Business Unit
Authors
Source
Programmable Device Circuits and Systems, Vol 10, No 9 (2018), Pagination: 172-176Abstract
Analysis of Distribution Transformers failures was carried out in Ughelli Business unit in Delta State under the Benin Electricity Distribution Company (BEDC). The aim of this study was to find out the cause of Distribution Transformer failure and proffer solution to mitigate it. Data includes numbers of transformers in each of the service center and their ratings, customer population and the failures reported in the past four (10) years in the Unit. Upon our analysis, the failures were seen to be dominant in transformers with 100kVA, 200kVA, and 300kVA ratings. Personal investigation revealed that protection integrity of visually all the transformers in the unit have been violated as wire-fusing has been a common practice with almost same size of wire. In other to avoid the continuous failures as a result of over fusing, a new method for calculating the actual size of wire to be used as fuse was developed.
Keywords
Distribution Transformer, Failure Analysis, Feeder Pillar, Fuse Ratio, Transformer Failure, Ughelli Business Unit.- A Pricing Model for the Nigerian Electricity Transmission Using Artificial Neural Network
Authors
1 Department of Electrical Engineering, Rivers State University, Nkpolu-Oroworukwo, Port Harcourt, NG
Source
Artificial Intelligent Systems and Machine Learning, Vol 11, No 12 (2019), Pagination: 225-233Abstract
For the restructuring of Nigeria’s power sector to be effective, efforts must be made to evolve an excellent pricing methodology that will economically be able to accommodate disintegrated units like generating, transmitting and distributing/retailing units. This work is aimed at developing an improved electricity transmission pricing scheme for the Nigerian Network using Artificial Neural Network. A model based on artificial neural network for improved electricity transmission pricing for the Nigerian Network was developed in order to forecast the transmission price for a longer period of time. The performance of the neural network model was evaluated by applying the actual transmission pricing data from Transmission Company of Nigeria to predict the prices. Raw data was collected from Transmission Company of Nigeria, Port-Harcourt district. The data was trained, tested and validated on the MATLAB/Simulink environment. Forecast results revealed that the model performed very well with a mean absolute percentage error of 0.09%, an average mean error of 0.5 and a regression value of 0.99. It was concluded that the improved and modified transmission use of system pricing is the best pricing method which will be acceptable to consumers and also ensure recovery of transmission cost in Nigeria. It was recommended that Artificial Intelligent-based techniques (ANN) in particular, must be implemented for long-term improved electricity transmission pricing forecast for the Transmission Company of Nigeria.
Keywords
Long Run Marginal Cost, Short Run Marginal Cost, Transmission Pricing, Transmission Capacity.- Mitigating 132kV Transmission Line Outage Due To Lightning Shielding Failure
Authors
1 Electrical Engineering at the Rivers State University, NG
2 Department of Electrical and Electronic Engineering, Rivers State University, NG
3 Rivers State University, NG
Source
Digital Signal Processing, Vol 11, No 7 (2019), Pagination: 121-127Abstract
132kV Transmission line shielding failure occurs when a lightning stroke escape the sky wire and hit the phase conductor thereby causing induced overvoltage resulting to unplanned outage and possible equipment failure. Considering the economic cost of 132kV transmission line outage on power companies and the inconveniences it has on the energy user, the need for improved protection is of paramount importance. By applying Line Meta-Oxide Surge Arrester along the to damp the overvoltage effect of the shielding failures and Modeling the transmission line using PSCAD-EMTDC 4.5, the lightning response was improved and the lightning overvoltage reduced to its barest minimum hence keeping the line healthy to the benefit of the power companies and the end users.