LAPSE:2023.28433
Published Article
LAPSE:2023.28433
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:2023.28433
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
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Original Submission
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PII: en13246503, Publication Type: Journal Article
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LAPSE:2023.28433
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https://doi.org/10.3390/en13246503
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Apr 11, 2023
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