Impact of Corona Discharge and Radio Noise Using Monte Carlo Analysis in EHV Transmission Line

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Yogini R Pandya, Ankit A Patel, Urvashi Praful Chudasama

Abstract

The paper investigates the impact of Corona discharge on Extra High Voltage (EHV) transmission lines and elucidates the importance of Corona Radio Interference (RI) and Television Interference (TVI). A statistical model based on Monte Carlo simulation is evaluated to estimate the influence of variable parameters such as atmospheric conditions, supply frequency, supply voltage on the corona quantities. To find out the probability distribution of the parameters and compute the probability of corona effect lying within certain limits, when parameters changes randomly within specified range. By employing this analytical approach, the research provides valuable insights into the complex interplay between Corona effect and transmission line performance, offering practical implications for the design and maintenance of EHV systems. Overall, the paper contributes to a deeper understanding of Corona's influence on EHV transmission lines and provides actionable recommendations for optimising their reliability under changing conditions.

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