An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load
Jie Wan,
Yanjia Wang,
Guorui Ren,
Jinfu Liu,
Wei Wang and
Jilai Yu
Additional contact information
Jie Wan: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Yanjia Wang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Guorui Ren: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Jinfu Liu: School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Wei Wang: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Jilai Yu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Energies, 2020, vol. 13, issue 24, 1-19
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.
Keywords: wind power ramp event; comprehensive evaluation; source; grid and load sides; grid frequency; threshold value; predictability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/24/6503/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/24/6503/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:24:p:6503-:d:459382
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().