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

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

In this paper, a feature extraction method for evaluating the complexity of the Electromagnetic Environment (EME) of the photovoltaic power station is presented by using logarithmic morphological gradient spectrum (LMGS) based on the mathematical morphological theory. We use LMGS to evaluate electro...

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Bibliographic Details
Main Authors:	Hua-chen Xi, Bing Li, Wen-hui Mai, Xiong Xu, Ya Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-07-01
Series:	Frontiers in Energy Research
Subjects:	electromagnetic environment photovoltaic power station mathematical morphological spectrum evaluation feature extraction
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2021.713501/full

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