Study on risk assessment for power transformer

Chen, Jinmeng; Li, Yang; Zhao, H. G.; Wu, Lanmin; Fan, Wei; Qin, Xiaohui

doi:10.1109/powercon.2016.7753859

2016 IEEE International Conference on Power System Technology (POWERCON) 2016

DOI: 10.1109/powercon.2016.7753859

|View full text |Cite

Study on risk assessment for power transformer

Jinmeng Chen¹,

Yang Li²,

H. G. Zhao

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Risk Assessment Method of Power Transformer Based on Three-Parameter Interval Grey Number Decision-Making

Xiong

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

In the process of power transformer risk assessment, the loss degree index is difficult to accurately quantify due to the influence of uncertain factors, leading to the deviation of risk judgment. A power transformer risk assessment method based on the three-parameter interval grey number decision-making is proposed. Firstly, the fault probability of the transformer is quantified based on the condition evaluation results. Secondly, considering the uncertainty of DG output and load, the Nataf transform and Cholesky decomposition were used to eliminate the correlation of random variables, and a three-point estimation method combined with a DC cut load model was introduced to calculate the probability distribution of the loss degree caused by the transformer fault. Finally, the origin moment of each order was obtained based on the calculation formula of risk value, and the risk probability distribution was obtained through the Cornish–Fisher series expanding. The decision method of the three-parameter interval grey number distance measure was used to judge the risk grade of the equipment. The results show that the proposed method fully considers the influence of uncertainty on equipment risk judgment, can realize the full use of the equipment risk value interval number to judge the risk, and avoids the decision-making defects of the traditional certain risk quantification method. Meanwhile, the influence of different factors on the risk evaluation results is in line with the actual operation condition of the transformer. The results also verify the effectiveness and accuracy of the proposed method, which provides a new judgment idea for power grid equipment risk quantitative assessment.

show abstract

A Risk Assessment Method of Power Transformer Based on Three-Parameter Interval Grey Number Decision-Making

Xiong

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Study on risk assessment for power transformer

Cited by 1 publication

References 4 publications

A Risk Assessment Method of Power Transformer Based on Three-Parameter Interval Grey Number Decision-Making

A Risk Assessment Method of Power Transformer Based on Three-Parameter Interval Grey Number Decision-Making

Contact Info

Product

Resources

About