Detection of Disturbance in Distribution System Using Mathematical Morphology

Abstract

Detection of disturbances is performed using Mathematical Morphology (MM) technique. A 33kV real time distribution model used to simulate the disturbance such as capacitance switching, load switching and line to ground (L-G) fault for both linear and nonlinear loads. MATLAB/SIMULINK software is used for analysis. A suitable MM filter and Structural Element (SE) is proposed for the disturbance detection. Distinguishing PSD (PSD) Energy and SD (SD) values calculated using Parsevals theorem. The proposed MM filter is very powerful to distinguish PSD due to linear and nonlinear load.