Next Article in Journal
Analysis of DC Winding Induced Voltage in Wound-Rotor Synchronous Machines by Using the Air-Gap Field Modulation Principle
Next Article in Special Issue
A New Control Strategy for Energy Management of Bidirectional Chargers for Electric Vehicles to Minimize Peak Load in Low-Voltage Grids with PV Generation
Previous Article in Journal
Electrification of Vehicle Miles Traveled and Fuel Consumption within the Household Context: A Case Study from California, U.S.A.
Previous Article in Special Issue
Regional Electric Vehicle Fast Charging Network Design Using Common Public Data
 
 
Article
Peer-Review Record

Analysis of Charging Load Acceptance Capacity of Electric Vehicles in the Residential Distribution Network

World Electr. Veh. J. 2022, 13(11), 214; https://doi.org/10.3390/wevj13110214
by Yuan-Peng Hua *, Shi-Qian Wang, Ding Han, Hong-Kun Bai, Yuan-Yuan Wang and Qiu-Yan Li
Reviewer 1:
Reviewer 2:
Reviewer 3:
World Electr. Veh. J. 2022, 13(11), 214; https://doi.org/10.3390/wevj13110214
Submission received: 20 October 2022 / Revised: 4 November 2022 / Accepted: 6 November 2022 / Published: 17 November 2022
(This article belongs to the Special Issue Charging Infrastructure for EVs)

Round 1

Reviewer 1 Report

This paper analyzes acceptance capacity of the charging load of the distribution network on typical weekdays and weekends. By establishing an optimized mathematical model for  the analysis of the charging load acceptance capacity, and taking the voltage of each node of the  distribution network and the capacity of the distribution lines and transformer as constraints, the particle swarm optimization algorithm is employed to solve the maximum acceptance capacity considering the charging characteristics of EVs.  The paper is well presented and is interesting for readers.

The following are my suggestions:

1)English can be polished.

2) Fig.9 is better presented in colour.

3) Reference format should be in uniform.

4) Please decribe how to use PSO algorithm in this paper.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Based on the characteristics of the EVs charging load of residential areas in typical day and the size of the target annual charging load, this paper analyzed the acceptance capacity of the charging load of the reidential distribution network on typical weekdays and weekends. This research work is valuable to the development of EVs in China.  Some minor eorrors needs to be revised.

(1) The label of the tables and figures in the results requires futher revirion.

(2) Variables used in the formulas in the paper need to be clearly described.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

This manuscript focuses on the maximum acceptance capacity of the charging load of the distribution. The results of mathematical modeling are presented. However, there are many significant disadvantages:

 1. Abstract is a mess. Must be better worded. The benefits and advantages of this research should be stated.

 2. In the Introduction section, you should show in more detail how your study differs from previously published and cited studies, how your study adds to this field of research.

 3. More detailed information about the used mathematical model should be provided, indicating according to which criteria this model is optimized, how the model and the actual residential distribution network are connected.

 4. More detailed information about the medium and tools used for the simulation should be provided.

 5. Section Conclusion does not meet the requirements. This is more of a summary of the article than a conclusion. Must be substantially rewritten.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Back to TopTop