Research on fault location method for low-voltage active distribution network based on correlation of main frequency components
by Daohong Lin; Hongyan Liu; Xinshu Wan; Wangcheng Zhu; Qiang Wu; YanJing Wang
International Journal of Critical Infrastructures (IJCIS), Vol. 18, No. 1, 2022

Abstract: In order to solve the problems of poor fault tolerance and low fault identification rate, a fault location method based on the correlation of main frequency components is proposed. Based on the distribution network of main frequency components extracted by Prony algorithm, this paper introduces the fault location model of low-voltage active distribution network built by hierarchical algorithm, and realises the correlation of main frequency components based on the research of fault location method of low-voltage active distribution network based on intelligent algorithm. The experimental results show that the fault tolerance rate of the proposed method based on the correlation of main frequency components is over 76% and the fault recognition rate is over 60%, which appears to be higher than several other methods. It is consequently believed that the proposed method may stand a good chance to offer better fault location performance.

Online publication date: Wed, 02-Feb-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Critical Infrastructures (IJCIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com