Genetic Algorithm-Optimized Adaptive Network Fuzzy Inference System-Based VSG Controller for Sustainable Operation of Distribution System

Round 1

Reviewer 1 Report

This paper introduces a new controller through incorporating Adaptive Network Fuzzy Inference System (ANFIS) in the active power controller to improve the performance of the Virtual Synchronous Generator (VSG). The advantage of the proposed ANFIS based VSG controller is it incorporates Genetic Algorithm (GA) to optimize the fuzzy membership function in order to provide better range and accuracy for the VSG responses. Manuscript has several issues which must be addressed before further processing. 

Minor issues:

1. Abstract can be written in more comprehensive and focused manner. Abstract, summarize the numerical results of proposed work, and discuss how it outperforms existing works.

2. Related work should be mentioned in a separate section by highlighting the comparative analysis in tabular manner. What are the unique features of this study compared to the existing works?

3. A ‘Research Gap’ section should incorporate which will states the purpose of the study

4. Contributions should be highlighted in bullet points and justified

5. More recent references are required to support the novelty of the work.

Major issues

1. On what constraints the objective function presented in equation 11 is optimized. It must be clearly mentioned. 

2. how the values of ?1 and ?2 are computed in the proposed work. 

3. Clearly state which type of membership function is selected in this work and what is the reason behind it. Further, what membership rules are defined in this work.

4. The comparative analysis presented in figures 10, 11, 14 and 15 must also be presented with the all four selected controllers i.e. NV, VF, VFIS and VOFIS. 

5. Title of the manuscript should be rewritten in more comprehensive manner on the basis of performed work. 

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

The manuscript is interesting and the study was carried out with adequate scientific methodologies. In my opinion the manuscript deserves to be published once the authors answer to the following comments.

 

Introduction

1.       The authors should better highlight the innovative aspects of their work in the manuscript.

 

Methodology

2.       The description of the proposed methodology could be improved. First, it could be better to insert at the beginning of Section 2 an outline about the system model and the methodology flow  diagram; the use of UML or SysML could help authors describing the proposed system view in a more structured fashion.

3.       Could the proposed approach be generalized to other types of grid (e.g., multi-carrier)?

4.       The authors should motivate the choice of the genetic algorithm to address the considered optimization problem. However, several recent scientific studies on energy management of distribution grids, show that HHO and WCA performs better than other traditional optimization algorithms.  The Authors should comment this point.

a.        A. M. Helmi et al., "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 1, pp. 82-98, 2022.

b.       M. A. Muhammad et al., "Distribution Network Planning Enhancement via Network Reconfiguration and DG Integration Using Dataset Approach and Water Cycle Algorithm," in Journal of Modern Power Systems and Clean Energy, vol. 8, no. 1, pp. 86-93, January 2020.

(documents that could be cited in the text).

 

Problem formulation

5.       The authors should clearly characterize the overall problem that they intend to solve. What type of decision variables (i.e. integer, real, etc) and how many? How many constraints (bounding, inequality, equality)?

6.       Does the proposed formulation satisfy power flow constraints? In the formulation (1)-(10) no power flow equation are present. Several recent scientific studies on power grid, show that energy scheduling must consider power quality and power flow constraints. The Authors should comment this point.

a.        P. Scarabaggio, R. Carli and M. Dotoli, "Noncooperative Equilibrium Seeking in Distributed Energy Systems Under AC Power Flow Nonlinear Constraints," in IEEE Transactions on Control of Network Systems, 2022, doi: 10.1109/TCNS.2022.3181527..

b.       M. Yao, D. K. Molzahn, and J. L. Mathieu, “An optimal power-flow approach to improve power system voltage stability using demand response,” IEEE Trans. Control of Netw. Syst., vol. 6, no. 3, pp. 1015–1025, 2019.

(documents that could be cited in the text)

7.       The outcome of the proposed approach should be assessed and condensed into a suitable indicator(s) that synthetically summarizes the related overall correctness and accuracy.

8.       Is the case study based on real data? How are the data generated?

 

Minor

9.       Mainly the English is good and there are only a few typos.  However the paper should be carefully rechecked.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Authors tried to incorporate most of the comments of reviewer. the main aim of comment 4 is to bring the uniformity in the comparative analysis. in all the comparative analysis graph at least same techniques are utilized and compared for better presentation of the manuscript. 

Author Response

Thank you for all the comments and suggestions. We have gone through the paper once more and recheck the language especially the grammar and sentences

Reviewer 2 Report

Previous comments and concerns have been sufficiently addressed. In the revised paper several improvements have been added.

Author Response

Thank you for all the comments and suggestions. We have gone through the paper once more and recheck the language especially the grammar and sentences