ADAPTIVE DISTANCE PROTECTION WITH UPFC USING GWO TECHNIQUE

Abstract

The protection of transmission lines is an imperative task to achieve a smooth transmission of power through transmission lines. There are several factors that affect the performance of these systems. The occurrence of faults is the most common reason of instability of power system. The detection and elimination of the faults is significant in order that the system remains reliable and stable. To this end, A literature survey is performed and it is observed that a number of techniques have been designed to protect the transmission lines. The relays are the most commonly used devices and amongst them distance protection is the suitable method to be applied on power systems. Further with the growing technology, FACT devices are introduced in this field to improve the protection method. There are number of FACT devices that are being used, however, many relays have the capability of protecting the model in effective way. The amalgamation of relays and FACT devices give better performance as per the survey. The most commonly used FACT device is UPFC. It is being widely used in the power systems to inject the power without causing any trouble to the system. In a recent study, UPFC is utilized with distance protection method and the results were considered effective. However, the system can be optimized by introducing the optimization algorithms. It is the best approach to obtain the optimal solution. Thus this dissertation presents the designing and development of a novel adaptive method. Different algorithms are studied and Grey wolf optimization is applied on the existing work so that the pulse can be automatically generated by the optimization algorithm and UPFC can easily operate them to inject power into the system and provide protection from the unnecessary faults. The simulation of the model is done in MATLAB software and the effectiveness of the model is determined by measuring impedance and fitness function. The comparison with existing approach ensured that the GWO based UPFC model outperformed the results of UPFC.