Application of Mathematical Morphology based filters to detect a power swing

Mathematical Morphology (MM) has been discussed in recent literature for its possible applications in power systems. However, the application of MM as a real-time filtering tool in power systems has not been explored adequately. This paper reports further contributions to our previous efforts in this direction. The paper shows how an appropriate choice of the structuring element (SE) can help develop a method to detect power system phenomena characterized by low frequency. To illustrate the effectiveness of the proposed method, it is used to detect a power swing simulated using PSCAD/EMTDC^®. Results are presented and analyzed. Based on the analysis, future work is outlined in order to construct an improved out-of-step blocking tool using this method, and to integrate this tool with a distance relay.