Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Performance of an electrical distribution network with soft open point during a grid side AC fault

Aithal, Avinash, Li, G., Wu, Jianzhong ORCID: and Yu, J. 2018. Performance of an electrical distribution network with soft open point during a grid side AC fault. Applied Energy 227 , pp. 262-272. 10.1016/j.apenergy.2017.08.152

[thumbnail of 1-s2.0-S0306261917311686-main.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (517kB) | Preview


Soft Open Point (SOP) is a power electronic device installed in place of normally open points in electrical distribution networks. This paper investigates the dynamic performance of a medium voltage (MV) distribution network with a connected SOP, under grid side AC faults. Use of sequence networks was extended to include SOP, such that conventional fault analysis technique can be used on a distribution network with SOP. A Fault-Index was defined using symmetrical components of voltages measured at the grid connection point of the SOP. The network performance was investigated under a line-to-ground, a line-to-line and a three-phase fault. The behaviour of the network was analysed under different control schemes and various operating scenarios of the SOP. Furthermore, the dependence of the sequence voltages and currents on the SOP set points was investigated. Simulations were carried out on an 11 kV generic UK distribution network model developed in PSCAD/EMTDC. Results show that the convectional fault analysis technique is applicable on a network with SOP, regardless of the SOP control mode. The Fault-Index, defined based on the local voltage measurements, was effective in detecting the presence of an AC fault in the MV distribution network. In addition, the need for a non-current based detection method is illustrated.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Additional Information: This is an open access article under the CC BY license (
Publisher: Elsevier
ISSN: 0306-2619
Date of First Compliant Deposit: 16 August 2017
Date of Acceptance: 13 August 2017
Last Modified: 05 May 2023 01:47

Citation Data

Cited 27 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics