DEVELOPMENT OF FAULT DETECTION MODEL FOR 330KV POWER SYSTEM TRANSMISSION LINES USING DISCRETE FOURIER TRANSFORM (DFT)

SOURCE:

Faculty: Engineering
Department: Electrical Engineering

CONTRIBUTORS:

Ogboh, V. C.
Madueme, T. C.
Ezechukwu, O. A.

ABSTRACT:

The occurrence of fault on the Power System Transmission Line is inevitable. Various methods have been applied by researchers to detect these faults. Development of Fault Detection Models for 330kV Power System Transmission Lines using Discrete Fourier Transform (DFT) were done to detect these faults, simplify the complex nature of the DFT and FFT mathematical expressions, bridge the knowledge gap in the understanding of their mathematical expression and their implementation for fault detection and analysis on the Power System Transmission Circuits by researchers.The fault detection models were developed using mathematical and computer approaches through the stages of discretization of the extracted transmission line three phase pre-fault and fault voltages and currents, mathematical computation, computerMatlab – Simulink modeling of their respective DFT and FFT 3 – Φ pre-fault and fault discretized voltages and currents using 4 – point Twiddle Butterfly Flow Conversion. The Simulation of the DFT & FFT Simulink block fault detection modelsshows fault parameters that satisfied the fault conditions of any electric power system. The results show that the mathematical approach of the DFT application gave a high pre-fault and low three phase fault (3-∅) voltage magnitudes of 1.7puand 0.09pu respectively. It also gave a low pre-fault and high 3-∅ current magnitude of 0.09pu and 3.1pu respectively. However, its FFT algorithm gave a high pre-fault and low 3-∅ voltage magnitudes of 1.5pu and 0.0pu respectively. More so, the FFT gave low pre-fault and high 3-∅ current magnitude of 0.1pu and 5.5pu respectively. However, Computer approach shows that DFT algorithm gave equal pre-fault and 3-∅ voltage magnitude. It also gave a low pre-fault and high 3-∅ current magnitude of 0.0pu and 0.9pu respectively. Butits FFT algorithm gave highest and lowest voltage magnitude of 3.4pu and 0.09pu respectively. While it’spre-fault and 3-∅ currentmagnitude is0.5pu and 2.5pu respectively. Percentage Error between the DFT mathematical (real data) and IEEE 14-Bus Network approaches show that, mathematical and IEEE 14-Bus gave lowest pre-fault voltage magnitude of 0.3395pu and 0.1067pu respectively. FFT mathematical (real data) and IEEE 14-Bus Network approaches show that, mathematical and IEEE 14-Bus gave lowest pre-fault voltage magnitude of 0.6191pu and 0.0449pu respectively. However, DFT mathematical (real data) and IEEE 14-Bus Network approaches show that, mathematical and IEEE 14-Bus gave largest three phase fault current magnitude of 0.6461pu and 0.8193pu respectively. FFT mathematical (real data) and IEEE 14-Bus Network approaches show that, mathematical and IEEE 14-Bus gave lowest pre-fault voltage magnitude of 5.5992pu and 15.92pu respectively.