Current Transformer Saturation Detection Using Morphological Gradient and Morphological Decomposition and Its Hardware Implementation

In this paper, the improved morphological gradient algorithm and the morphological decomposition algorithm are used to detect the saturated sections of a secondary current, and the detection results are combined by the AND logic so as to provide a more accurate and reliable detection result. The proposed method is implemented in a system on chip, whose core is a field-programmable gate array. To evaluate the performance of the proposed method as well as its hardware implementation, a simple double-side power supply system model is built in RSCAD, and a test platform involving a real-time digital simulator is set up accordingly. The simulation results have shown that the proposed method can correctly identify the saturated sections under various conditions, and its hardware implementation has illustrated that the proposed method can be used in real time in practice.