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Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU
 
 
Article
Peer-Review Record

A Localized Transient-Based Fault Location Scheme for Distribution Systems

Sensors 2022, 22(7), 2723; https://doi.org/10.3390/s22072723
by Navid Bayati 1,*, Lasse Kappel Mortensen 2, Mehdi Savaghebi 1 and Hamid Reza Shaker 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Sensors 2022, 22(7), 2723; https://doi.org/10.3390/s22072723
Submission received: 11 March 2022 / Revised: 29 March 2022 / Accepted: 30 March 2022 / Published: 1 April 2022
(This article belongs to the Special Issue Sensor Enabled Smart Energy Solutions)

Round 1

Reviewer 1 Report

1. In the power distribution system, the opening and closing of a large circuit breaker will affect the transient voltage and current. How to eliminate this kind of interference is the method in this paper.

2. It is suggested to adjust the order of literature introduction in introduction.

3. The value of fault resistance is very small, how to get such value accurately in the process of practical application?

4. Is there a similar way to compare the results.

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The manuscript, A Localized Transient-based Fault Location Scheme for Distribution Systems, proposes a localized fault location method based on the transient behavior of fault current by using local data. The authors propose the formulation based on fault resistance, loads, and different fault locations. Furthermore, due to the usage of transient fault current data, the proposed method locates the fault within several milliseconds with a suitable range of error. In the end, the authors validated the effectiveness of this method with the field measurement data, obtained from a real distribution system and proved that the proposed method locates different types of faults within an appropriate time and error, which can improve the maintenance and reliability of distribution systems. Overall, the major conclusions of this manuscript are quite obvious and supported by both the experiment and test results. Besides, discussion and analysis were completed diligently. There are several suggestions for the author to improve the quality of the manuscript.

  1. The references need to be re-formatted following the journal requirements.
  2. Figure 5 can be removed as it didn’t provide any useful information.
  3. The X and Y-axis scale is missing in Figure 9
  4. More detailed discussion needs to add following figure 11 and 12 to demonstrate the benefit of the proposed methods

As such, I recommend the manuscript can be accepted

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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