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Application Of Artificail Neural Network For Enhanced Power Systems Protection On The Nigerian 330kv Network
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CHAPTER ONE
INTRODUCTION
1.1 Background of the study
The 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 of Nigeria that controls the high voltage delivery of power from generating plants to the substations for transmission to distribution stations. T.C.N handles a 330kv system capacity of 6870MW over a total distance of 5650Km[1], their focus is to maintain power system stability, reliability and sustainability.
The major protection schemes currently employed are distance protection, over current protection, differential protection e.t.c. distance protection being the predominant suffers from inaccuracy due to restraints of relays on protection schemes i.e. reach settings. The relay cannot fully adapt to fluctuations in power system conditions especially in parallel lines as well as distinguish between transient and permanent fault following a short circuit.
This work brings to view the application of artificial neural network for enhanced power system protection in regards to fault detection, fault location, and application of the adaptive auto reclosure schemes as opposed to conventional approach; travelling wave approach, synchronous compensators to name a few.
1.2 Statement of the Problem
Among several power system components, transmission line is one of the most important components of the power system network and is mostly affected by several types of faults. Generally, 80%-90% of the fault occurs on the transmission line and the rest of substation equipment and bus bar combined. The necessary requirement of all the power system is to maintain reliability of operation which may be done by detecting, classifying and isolating various faults occurring in the system. It is required that a corrective decision should be made by the protective device to minimize the period of trouble and limit outage time, damage and related problems. If any fault or disturbances occurred in the transmission is not detected, located, and eliminated quickly, it may cause instability in the power system and causes significant changes in system quantities like over-current, under or over voltage, power factor, impedance, frequency and power. The appropriate percentage of occurrence of single line to ground fault is about 70-80%, line to line to ground faults is 10-17%, line to line fault is 8-10% and three phase is 3%. The three faults occur rarely but if it exists in a system it is quite expensive.
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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 netw ... 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 netw ... Continue reading---
CHAPTER ONE -- [Total Page(s) 1]
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CHAPTER ONE -- [Total Page(s) 1]
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