Photovoltaic Power Station Electromagnetic Environment Complexity Evaluation Utilizing Logarithmic Morphological Gradient Spectrum

In this paper, a feature extraction method for evaluating the complexity of Electromagnetic Environment (EME) photovoltaic power station is presented by using logarithmic morphological gradient spectrum (LMGS) based on mathematical theory. We use LMGS to evaluate electromagnetic environment signals. also explored impact structure element (SE) MS, MGS, and LMGS. Three types SE, mean line square SE diamond are utilized compared computing EME signals with four degrees simulated effectiveness method. The experimental results have shown that scheme proposed in paper reasonable classify EME.