Development of Online Coherency Detection Algorithm

Abstract

The modern power system is bigger, more linked, integrated with renewable energy sources and displaying complicated nonlinear dynamic behaviour. Coherent behaviour involves dividing the system’s machines into groups that exhibit the same behaviour. The coherency of the generators inside the islands formed following a disturbance depends on their stability, demonstrating the significance of accurately identifying coherent generators. This paper aims at developing an online coherency detection algorithm. The development of coherency can significantly reduce the computations required for performing stability studies and produces accurate results. Coherent group formation is influenced by the type and location of the disruption. Model reduction approaches are widely employed with large-scale complicated power systems to improve the performance of simulations. The Dynamic Time Warping algorithm was tested, and results have been shown. An assessment of DTW has been seen. This algorithm has been implemented on the IEEE 68-Bus, 16-Machine, 5-Area System for testing its reliability.