VSC-HVDC converter station fault diagnosis system and method
A technology of VSC-HVDC and fault diagnosis system, which is applied in the field of high-voltage DC fault diagnosis. It can solve problems affecting system operation and difficulty in extracting signal features, and achieve the effects of ensuring equipment operation, intuitive operation status, and reducing equipment downtime
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0024] A kind of VSC-HVDC converter station fault diagnosis system based on CEEMDAN arrangement entropy and KELM, such as Figure 1 Shown, including signal acquisition module, wireless WIFI acquisition module and PC-side analysis module;
[0025] The signal acquisition module comprises a VSC-HVDC converter station, a current sensor, and an STM32F103C8T6 chip; Acquire electrical signals by encapsulating a current sensor on the busbar of a VSC-HVDC converter-based converter based on a voltage source converter;
[0026] The wireless WIFI transmission module comprises ESP8266 and a wireless router, the current signal is transmitted to the STM32F103C8T6 chip through the SPI interface, the STM32F103C8T6 chip is connected to the ESP8266 UART serial port to achieve wireless data transmission;
[0027] The PC analysis module, using CEEMDAN permutation entropy and KELM method to establish a VSC-HVDC converter station fault diagnosis model, in order to evaluate the vsC-HVDC converter station ...
Embodiment 2
[0030] Method for using VSC-HVDC converter station fault diagnosis system based on CEEMDAN arrangement entropy and KELM, including the following steps, such as Figure 2 As shown:
[0031]S1: Signal acquisition: electrical signal acquisition is obtained by a current sensor embedded in the busbar of the VSC-HVDC converter station based on the voltage source converter;
[0032] S2: Signal transmission: the acquired signal is transmitted to the PC through the WIFI module;
[0033] S3: Feature extraction: CEEMDAN decomposition of the acquired electrical signal obtains the modal component, and calculates the correlation coefficient between the modal component and the original signal, and calculates the permutation entropy value of the modal components with high correlation coefficient to form a feature sample set;
[0034] S4: State recognition: The feature sample set obtained by feature extraction is input into the KELM fault diagnosis model for state recognition;
[0035] KELM has hig...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com