International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)
Vol. 3 No. 3 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP

Analysis of Lightning Performance on 345 kV Transmission Lines Using Python Programming: Analysis of Lightning Performance on 345 kV Transmission Lines Using Python Programming

Fri Murdiya (Universitas Riau)
Rofi Hariadi (Dept. Electrical Engineering Universitas Riau)



Article Info

Publish Date
12 Oct 2020

Abstract

One of main causes of interruption of electrical power supply is the lightning strike on overhead power transmission lines. The lightning performance of transmission line can be determined by value of shielding failure flashover rate (SFFOR) and back flashover rate (BFOR). The object of this study is to create a computer application to compute lightning performance on the transmission lines using Python programming. Pythons package tkinter used for program interface window. Application programming is done by using the concept of object-oriented programming (OOP) using Pythons keyword class. Validation shows that the application has applied the method correctly with a percentage error 0 % for SFFOR and 3.14 % for BFOR. The application can do analysis on the factors that affecting SFFOR and BFOR such as the effect of thunder day, tower foot resistance, and number of isolator disk. The results obtained in this study is computer application that can perform lightning performance analysis and analysis of factors that can affect it, such as thunder day, tower foot resistance and the number of isolator disk.

Copyrights © 2020






Journal Info

Abbrev

ijeepse

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

Description

The IJEEPSE is particularly concerned with the demonstration of applied science and innovative engineering solutions to solve problems on power, energy, wireless communication and, informatics. Original contributions providing insight into the use of renewable energy, power generation and smart ...