Results (1)
Search Parameters:
Author/Affiliation: Turgay YalcinOpen AccessArticle
8 Pages, 1,047 KB 
Computational Intelligence Methods for Identifying Voltage Sag in Smart Grid
Abstract:
In recent years pattern recognition of power quality (PQ) disturbances in smart grids has developed into crucial topic for system equipments and end-users. Undoubtedly analyzing the PQ disturbances develop and maintain smart grids effectiveness. Voltage sags are the most common events that affect power quality. These faults are also the most costly. This paper represents…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Electrical Engineering (ELE))