A Novel Solution Methodology Based on a Modified Gradient-Based Optimizer for Parameter Estimation of Photovoltaic Models

Round 1

Reviewer 1 Report

This manuscript introduced recently published GBO method by adapting numerical gradient approach which would come from the aids of Taylor series expansion to obtain the next, the new position values. 

1. Could the authors identify the theoretical progress without suggesting the updated core algorithm by changing the value of direction of movement (DM) and simply introducing the numerically same expression, called "modified"?
2. It is needed to verify the upper boundary condition of Iph and Isdx and also identify the units used.
3. There are no physical meanings in Table 4, 7, 10 and Figure 7, 8, 11,12, 16, having negative values so that all the prediction and comparison should be recalculated and redrawn.
4. Minor spell errors found in line 209 ad 210.
5. Table 7 and 10 should be shown with different format for the reader to sketch, in a glance, the results, not simply showing the calculated values.
6. The above corrections would enhance the quality of the paper and provide society authors clear message the suggested method enhance the prediction of the model parameters and output results. 

Author Response

Please find the attached file

Author Response File: Author Response.pdf

Reviewer 2 Report

I consider that this article is not very original and does not bring any novelty to the methods of study in the field of photovoltaic solar energy. I also consider that the paper has low scientific soundness.

The methods to estimate the parameters of photovoltaic models are widely studied so I do not see anything original in this article.

 

Author Response

I consider that this article is not very original and does not bring any novelty to the methods of study in the field of photovoltaic solar energy. I also consider that the paper has low scientific soundness. The methods to estimate the parameters of photovoltaic models are widely studied so I do not see anything original in this article.

Author response: The authors appreciate the reviewer’s comment. This manuscript proposes a modification to a recently introduced optimization algorithm entitled “gradient-based optimizer (GBO)”. Due to the wide study of parameters estimation of the PV model, the MGBO has been proposed and applied to investigate its superiority against the well-known optimization algorithms. The proposed technique has the advantages of accelerated convergence rate as well as avoiding the local optima problem. The results proved the fast convergence rate and effectiveness of the proposed optimizer over other well-known optimization algorithms in extracting the parameters of PV models.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors properly answered and reflected to the manuscript all the questions raised and it would be recommended for the next process step. 

Author Response

The authors greatly appreciate the time and effort by the reviewer in reviewing this manuscript.