A transient stability assessment method using post-fault trajectories

Abstract

Transient Stability Assessment (TSA) is the process in which the stability of a system is characterized qualitatively or quantitatively. The TSA algorithm presented in this paper is derived from the well-established Single Machine Equivalent (SIME) method and can thus be categorized as a hybrid directtemporal method. The novelty of the proposed algorithm is that it derives a Transient Stability Index (TSI) with a single Time-Domain (TD) simulation for both stable and unstable cases. The resulting TSI is uniform in units and linear around the instability point. Results are reported for two sample power systems of 9 and 36 buses. The proposed algorithm has also been successfully employed to speed-up a Critical Clearing Time (CCT) determination algorithm.

Utilizing Hybrid Renewable Energy Systems for Enhancing Transient Stability in Power Grids: A Comprehensive Review

“…Swarm intelligence (SI), evolutionary computing (EC), support vector machine (SVM), fuzzy systems (FS), and artificial neural networks (ANN) are CI paradigms. Kyriakidis et al [24] and numerous others have disputed on traditional TSA-based approach, which reports an acceptable dismissal of its practice for an extensive Security Assessment of the Power System. At the same time, CI for TSA was regarded as a possible alternative quick online TSA methodology for an extensive system.…”

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

“…Several methods for transient stability analysis investigate e ects of the improving methods on transient stability. These methods can be divided into three general categories [21]: time domain simulation, direct method, and hybrid method. Time Domain Simulation (TDS) method simulates the dynamic behaviour of the system very close to its real operation and allows using the detailed model in the simulation [1].…”