Power System Dominant Oscillation Mode Analysis Based on Multivariate Empirical Mode Decomposition
Author:
Affiliation:
1. State Grid Liaoning Electric Power Supply Co., Ltd.,State Grid Huludao Electric Power Supply Company,Shenyang,China
2. State Grid Liaoning Electric Power Supply Co., Ltd.,State Grid Huludao Electric Power Supply Company,Huludao,China
Funder
Science and Technology Project of State Grid
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10257119.pdf?arnumber=10257119
Reference10 articles.
1. Early-Stage end-of-Life prediction of lithium-Ion battery using empirical mode decomposition and particle filter;jian wen;Proceedings of the Institution of Mechanical Engineers,2023
2. Combining the synchrosqueezing generalized S-transform of variational mode decomposition with the Teager–Kaiser energy operator to calculate the attenuation gradient for identifying oil and gas reservoirs;hai tao;Acta Geophysica,2022
3. Adaptive conductance function based improved diffusion filtering and bi-dimensional empirical mode decomposition based image denoising;himanshu;Multidimensional Systems and Signal Processing,2022
4. Study on the Optimal Dispatching Strategy of a Combined Cooling, Heating and Electric Power System Based on Demand Response;ye;Energies,2022
5. Demand Response Using Disturbance Estimation-Based Kalman Filtering for the Frequency Control;xue hua;Energies,2022
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