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Related Experiment Video

Updated: Jun 4, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

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A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement.

Shan Yang¹, Zhirong Gao¹, Jingbo Guo²

¹College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China.

Sensors (Basel, Switzerland)

|December 17, 2024

Summary

Compressed data acquisition for power systems uses chaotic compressive measurement to address the growing data volume challenge. This method efficiently compresses and recovers power data, proving effective in case studies.

Keywords:

chaotic measurement matrix compressed acquisition compressed sensing data acquisition method new power system

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Area of Science:

Electrical Engineering
Data Science
Signal Processing

Background:

The "dual carbon" goals are driving digitalization in power systems, increasing data acquisition needs.
A significant gap exists between the growing data volume and current data acquisition capacities.
Compressed data acquisition methods are crucial for efficient power system management.

Purpose of the Study:

To propose a novel compressed data acquisition method for power systems.
To address the data volume versus acquisition capacity contradiction.
To leverage compressed sensing principles for efficient data handling.

Main Methods:

Analysis of compressed sensing advantages and challenges in power system data acquisition.
Construction and optimization of a chaotic compressive measurement matrix using chaotic map sampling.
Development of a data acquisition process utilizing sparse data differences for compression and recovery.

Main Results:

A novel compressed data acquisition method based on chaotic compressive measurement was developed.
The optimized chaotic measurement matrix effectively compressed power system data.
The proposed method successfully recovered complete power data from limited compressed information.

Conclusions:

The developed chaotic compressive measurement method is a correct and effective solution for power system data acquisition.
This approach offers a viable strategy to manage the increasing data demands in modernized power grids.
The findings support the application of compressed sensing techniques in advanced power system monitoring and control.