Абстрактный

ANN BASED PROTECTION for SERIES COMPENSATED LINES

A Santosh Kumar, V Surendranath Chowdary

This paper presents Artificial Neural Networks based protection for series compensated lines and the problem faced by the distance protection scheme used for transmission lines protection when they are compensated in series with the FACTS devices like TCSC. The use of TCSC creates certain problems to distance protection schemes as there is a change in the apparent impedance measured by the relay. The change in the apparent impedance measured is corrected by using Artificial Neural Networks (ANN) for the correct operation of the relay, which is extensively tested using MATLAB Simulation for different conditions. The results obtained show that by using the Artificial Neural Networks training methods the operation accuracy of the relay used for distance protection is improved.