LAPSE:2023.28433v1
Published Article
LAPSE:2023.28433v1
An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load
April 11, 2023
Abstract
The wind power ramp event includes large fluctuations in wind power within a short period of time. To maintain grid stability, defining, identifying, and predicting the wind power ramp event is inevitable. Therefore, a comprehensive assessment method of wind power ramp events that combines the generalized information of the source, grid, and load sides is proposed. In this method, we put forward a channel self-selected multi-layer coefficient correction model (CSMCC) and wind power ramp threshold, according to the allowable value of a grid frequency change. Additionally, the availability of data-driven modeling methods is verified by performing autocorrelation analysis. Finally, the comprehensive evaluation method, which combines the back propagation (BP) neural network, supports the vector machine and CSMCC model is proved to be effective. This paper has a certain reference significance for basic research on large-scale wind power safety and efficient utilization.
The wind power ramp event includes large fluctuations in wind power within a short period of time. To maintain grid stability, defining, identifying, and predicting the wind power ramp event is inevitable. Therefore, a comprehensive assessment method of wind power ramp events that combines the generalized information of the source, grid, and load sides is proposed. In this method, we put forward a channel self-selected multi-layer coefficient correction model (CSMCC) and wind power ramp threshold, according to the allowable value of a grid frequency change. Additionally, the availability of data-driven modeling methods is verified by performing autocorrelation analysis. Finally, the comprehensive evaluation method, which combines the back propagation (BP) neural network, supports the vector machine and CSMCC model is proved to be effective. This paper has a certain reference significance for basic research on large-scale wind power safety and efficient utilization.
Record ID
Keywords
comprehensive evaluation, grid and load sides, grid frequency, predictability, source, threshold value, wind power ramp event
Suggested Citation
Wan J, Wang Y, Ren G, Liu J, Wang W, Yu J. An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load. (2023). LAPSE:2023.28433v1
Author Affiliations
Wan J: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Wang Y: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Ren G: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Liu J: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Wang W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, C [ORCID]
Yu J: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Wang Y: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Ren G: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Liu J: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Wang W: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, C [ORCID]
Yu J: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China; Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Journal Name
Energies
Volume
13
Issue
24
Article Number
E6503
Year
2020
Publication Date
2020-12-09
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en13246503, Publication Type: Journal Article
Record Map
Published Article
LAPSE:2023.28433v1
This Record
External Link
https://doi.org/10.3390/en13246503
Publisher Version
Download
Meta
Record Statistics
Record Views
274
Version History
[v1] (Original Submission)
Apr 11, 2023
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28433v1
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.11 seconds)
[0.11 s]