Guidelines for selection of an optimal structuring element for Mathematical Morphology based tools to detect power system disturbances

Mathematical Morphology (MM) has been reported as a promising application to detect power system disturbances. The real-time applications of MM based tools are also reported to detect disturbances. However, there is no clear guideline for selection of the structuring element for a particular application, despite the fact that the structuring element is a key component of any MM based tool. This paper shows a method to generalize and numerically optimize the structuring element to detect power system disturbances. Power system fault cases are simulated using a professional time-domain software, and the current and voltage waveforms from these cases are used to illustrate the methodology. Results are observed and analyzed. Some guidelines to select an optimum structuring element to detect power system disturbances are provided based on the results.

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