A method and system for analyzing load shedding data of pumped storage power stations based on signal decomposition and reconstruction

By combining variational mode decomposition and fully adaptive noise-complete set empirical mode decomposition as signal decomposition and reconstruction methods, the problem of accurately extracting water hammer pressure and pressure pulsation during load shedding in pumped storage power stations is solved, improving the accuracy and safety of the analysis.

CN117235483BActive Publication Date: 2025-11-14HOHAI UNIV
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Patent Information

Application Number
CN202311043564.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-08-18
Publication Date
2025-11-14
Estimated Expiration
2043-08-18

AI Technical Summary

Technical Problem

Existing technologies cannot accurately extract water hammer pressure and pressure pulsation during the load shedding process of pumped storage power stations, resulting in large calculation errors in engineering design. The lack of pressure pulsation correction standards affects the safe operation of the power station.

Method used

A signal decomposition and reconstruction method combining variational mode decomposition (VMD) and fully adaptive noise-complete ensemble empirical mode decomposition (CEEMDAN) is adopted. By reconstructing the signal through mutual information, noise is filtered out and water hammer pressure and pressure pulsation are accurately extracted.

Benefits of technology

It improves the inversion and prediction accuracy of the load shedding process, ensures the safe operation of the turbine, reduces the deviation between measured data and simulation data, and improves the correlation coefficient and processing speed.

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Abstract

This invention discloses a method and system for analyzing load shedding data of pumped storage power stations based on signal decomposition and reconstruction. First, a one-dimensional numerical simulation method is used to simulate the unit's load shedding transient process, which has boundary conditions essentially consistent with the measured signal. The permutation entropy value of the simulated signal is calculated. Next, variational mode decomposition is performed on the measured signal, and component reconstruction is performed using mutual information as a criterion to reduce the permutation entropy value. Then, the reconstructed signal undergoes fully adaptive noise-complete ensemble empirical mode decomposition processing, and the components are superimposed to obtain experimental data consistent with the permutation entropy of the simulated signal. The system includes a data acquisition module, a data processing module, and a data output module. This invention can filter out noise from complex measured data and extract accurate water hammer pressure and pressure pulsation, which is fundamental for analyzing the actual characteristics of the power station's transient process and improving the accuracy of transient process inversion and prediction.
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