LAPSE:2020.0703
Published Article
LAPSE:2020.0703
Reliability Assessment of Wind Farm Electrical System Based on a Probability Transfer Technique
Hejun Yang, Lei Wang, Yeyu Zhang, Xianjun Qi, Lei Wang, Hongbin Wu
June 23, 2020
The electrical system of a wind farm has a significant influence on the wind farm reliability and electrical energy yield. The disconnect switch installed in an electrical system cannot only improve the operating flexibility, but also enhance the reliability for a wind farm. Therefore, this paper develops a probabilistic transfer technique for integrating the electrical topology structure, the isolation operation of disconnect switch, and stochastic failure of electrical equipment into the reliability assessment of wind farm electrical system. Firstly, as the traditional two-state reliability model of electrical equipment cannot consider the isolation operation, so the paper develops a three-state reliability model to replace the two-state model for incorporating the isolation operation. In addition, a proportion apportion technique is presented to evaluate the state probability. Secondly, this paper develops a probabilistic transfer technique based on the thoughts that through transfer the unreliability of electrical system to the energy transmission interruption of wind turbine generators (WTGs). Finally, some novel indices for describing the reliability of wind farm electrical system are designed, and the variance coefficient of the designed indices is used as a convergence criterion to determine the termination of the assessment process. The proposed technique is applied to the reliability assessment of a wind farm with the different topologies. The simulation results show that the proposed techniques are effective in practical applications.
Keywords
electrical topology, probability, reliability assessment, reliability indices, wind farm
Suggested Citation
Yang H, Wang L, Zhang Y, Qi X, Wang L, Wu H. Reliability Assessment of Wind Farm Electrical System Based on a Probability Transfer Technique. (2020). LAPSE:2020.0703
Author Affiliations
Yang H: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China [ORCID]
Wang L: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Zhang Y: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Qi X: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Wang L: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Wu H: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
11
Issue
4
Article Number
E744
Year
2018
Publication Date
2018-03-25
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en11040744, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2020.0703
This Record
External Link

doi:10.3390/en11040744
Publisher Version
Download
Files
[Download 1v1.pdf] (2.2 MB)
Jun 23, 2020
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
369
Version History
[v1] (Original Submission)
Jun 23, 2020
 
Verified by curator on
Jun 23, 2020
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2020.0703
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version