Affiliations: Department of Electromechanical Engineering, High Institute of Applied Sciences and Technology, ISSAT-Gabés, Tunisia | National School of Engineers of Sfax ENIS, Tunisia
Note: [] Corresponding author. K. Jemaï, Department of Electromechanical Engineering, High Institute of Applied Sciences and Technology, ISSAT-Gabés 6072, Tunisia. E-mail: jemaissatgb@yahoo.fr
Abstract: In the present work, we applied a new control strategy of power systems based on a technique for classifying areas of an electrical network (generators, lines, etc.) taking into account both margins variations of variables given state and secondly, the impact of various faults each weighted by its probability of occurrence. Indeed, this technique, designated by fuzzy bi-clustering, was established by reference to a database, character matrix [MB], lines established by the events EV<>i weighted by their probabilities and columns by state variables selected δi (total load angle).
Keywords: Fuzzy, electrical grid, synchronous machine, bi-cluster, load flow, eigen values, power flow
