Indian Journal of Science and Technology

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Objective: This paper presents how a neural controller negotiates and dampen the oscillations, due to a transient fault that occurs in a power system. Methods/ Analysis: In this research work a transient symmetrical fault and its associated damping are analyzed, the response of the two controllers, one is the fuzzy tuned controller and the other controller is designed with neural logic for maneuvering momentary fault condition. Thyristor Controlled Reactor is a potential controller used for reactance control and for damping the oscillations in power system. Findings: Through this research article the effect of TCR is analyzed. In the present flexible A.C transmission system TCR is used for damping oscillations in the transmission line caused due to disturbance. Here, a symmetrical fault is simulated and the results are presented. Neural tuning of TCR improvises the result. Even without tuning TCR has the property of damping line oscillations, if tuned in a proper way by intelligent controllers definitely it has improvisation over the results. Novelty/improvement: The main novelty here is the use of neural controller for tuning a TCR. Generally, earlier the outputs were obtained through fuzzy controller or PID controllers. Also here the outputs are analyzed for three phases.

Keywords

Fault Analysis, Fuzzy, Mat-lab, Neural, TCR.
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