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APPLICATION OF ARTIFICAIL NEURAL NETWORK FOR ENHANCED POWER SYSTEMS PROTECTION ON THE NIGERIAN 330kV NETWORK
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- Contributor: mr-chris
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- Case No: 489940ip
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ABSRACT - [ Total Page(s): 1 ]This work investigates an improved protection solution based on the use of artificial neural network on the 330kV Nigerian Network modelled using Matlab R2014a. Measured fault voltages and currents signals decomposed using the discrete Fourier transform implemented via fast Fourier transform are fed as inputs to the neural network. The output plots of the neural network shows its successful application to fault diagnosis (fault detection, fault classification and fault location). The neural networks application to fault location shows a mean square error of 3.5331 and regression value of 0.999
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CHAPTER ONE - [ Total Page(s): 1 ]CHAPTER ONEINTRODUCTION1.1 Background of the studyThe demand for constant power supply in Nigeria is ever increasing; however the demand is met with lots of constraint. One of them being system faults. Faults on transmission line in particular is of great interest to the power holding company of Nigeria as more investment is put into restructuring the current infrastructure and also expanding existing ones.The power sector of Nigeria is subdivided into policy, regulations, customers, operations. The operations division brings to light the activities of the transmission company ... Continue Reading
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ABSRACT - [ Total Page(s): 1 ]This work investigates an improved protection solution based on the use of artificial neural network on the 330kV Nigerian Network modelled using Matlab R2014a. Measured fault voltages and currents signals decomposed using the discrete Fourier transform implemented via fast Fourier transform are fed as inputs to the neural network. The output plots of the neural network shows its successful application to fault diagnosis (fault detection, fault classification and fault location). The neural networks application to fault location shows a mean square error of 3.5331 and regression value of 0.999
... Continue Reading
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