Transient stability assessment (TSA) of a power system pursues a two-fold objective: first to appraise the system’s capability to withstand major contingencies and second to suggest remedial actions whenever needed. The first objective is the concern of analysis; the second is a matter of control. To assess transient stability, multitude of techniques are available encompassing traditional time domain state numerical integration, Lyapunov based techniques, probabilistic methods, and recently Artificial Intelligence (AI) techniques. This paper presents a simple but effective fuzzy logic classifier system for TSA. The fuzzy logic-based rule assessment needs only a fraction of time to solve the classification problem, namely to classify an operating point of the machine as a stable or unstable one. The results revealed that the proposed classifier system is flexible and extendible.
Available at: http://works.bepress.com/almoataz_abdelaziz/4/