SERIES COMPENSATED LINE PROTECTION USING ARTIFICIAL NEURAL NETWORK

Abstract: This paper presents Artificial Neural Networks primarily based protection for series stipendiary lines and also the downside Janus-faced by the space protection theme used for transmission lines protection once they square measure stipendiary serial with the FACTS devices like TCSC. the employment of TCSC creates sure issues to distance protection schemes as there's a modification within the apparent ohmic resistance measured by the relay. The modification within the apparent ohmic resistance measured is corrected by mistreatment Artificial Neural Networks (ANN) for the proper operation of the relay, that is extensively tested mistreatment MATLAB Simulation for various conditions. The results obtained show that by mistreatment the synthetic Neural Networks coaching strategies the operation accuracy of the relay used for distance protection is improved.

Keywords: Artificial Neural Networks, Distance protection, FACTS devices, Thyristor Controlled Series electrical condenser