Analysis of Line Outage Detection in Nigeria 330kV Transmission Lines using Phasor Measurement Units

  • Nkem Francis Obodoagwu University of Benin
Keywords: Transmission lines, Line outage detection, Newton-Raphson power flow algorithm, Phasor Measurement Units, Power system network

Abstract

In this work, an analysis of line outage detection in Nigeria 330kV transmission lines using Phasor Measurement Units was presented. This requires collection and analysis of the data obtained from Transmission Company of Nigeria with the aid of PSAT 2.10.1 / MATLAB SIMULINK using Newton-Raphson power flow algorithm and also to determine the effectiveness of PMU when introduced in our power system network. 12 buses and 3 Generators system were considered for the studied. This was achieved by collecting relevant transmission parameters for 330kV line and was simulated on PSAT 2.10.1 and MATLAB 2015a using Newton-Raphson power flow algorithm. The work involved an offline and online analysis. For the offline analysis the admittance / impedance matrix for Y-bus and bus voltage for pre-outage was obtained via the power flow analysis and change in impedance for the lines were calculated. These values were further normalised in order to reduce the value to a row echelon form. Then for the online analysis; the change in phase angle from the Phasor Measurement Unit (PMU) online simulation for pre-outage and also post-outage was calculated and a normalised column matrix was gotten. Finally, the effectiveness of the line outage detection was graphically represented using MATLAB software to plot the values of the normalised values of the offline and online analysis; i.e., by comparing the normalised form of the offline and online values. These results clearly show that PMUs gives an accurate monitoring and total observability when introduced in Nigeria power system.

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Published
2019-12-31
How to Cite
Obodoagwu, N. F. (2019). Analysis of Line Outage Detection in Nigeria 330kV Transmission Lines using Phasor Measurement Units. Journal of Advances in Science and Engineering, 2(3), 1 - 81. https://doi.org/10.37121/jase.v2i3.68
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Thesis