Parameter Identification of Photovoltaic Cell Model Using Modified Elephant Herding Optimization-Based Algorithms

Round 1

Reviewer 1 Report

Dear authors

The work is good, but it needs some corrections and clarifications, as follows

• The manuscript needs to be reviewed in some grammatical rules by an English language specialist in all the manuscript parts.
• The abstract needs additional information
• What is the novelty of the manuscript?
• The manuscript lacks recent references on the topic. Also, the references should be rewritten in an organized manner

Author Response

Comment: The work is good, but it needs some corrections and clarifications,

Response: Our team appreciates your kind words about our work.

Comment: The manuscript needs to be reviewed in some grammatical rules by an English language specialist in all the manuscript parts.

 

Response: During the revision process, grammar is thoroughly checked to ensure the paper is free of grammatical errors and ensure that it is proofread and edited using Grammarly software.

 

Comment: The abstract needs additional information

Response:   Additional information about the accuracy of the solution is added.

 

Comment: What is the novelty of the manuscript?

 

Response: The novelty of the manuscript can be summarized as follows:

The main contributions of this paper can be summarized as follows:

• Proposing three variants of the EHO algorithms for solar cell parameters estimation.
• The EHO and the proposed EHO variants are tested on single, double, and three diode models.
• Verifying the performance of each algorithm by comparing results with those of competitors.
• Proving that the culture-based variant has the most effective performance that improves the EHO.
• Validation of the proposed variants under different environmental conditions for temperature and irradiation. In this regard, the applications are employed on two types of PV solar cells

 

Comment: The manuscript lacks recent references on the topic. Also, the references should be rewritten in an organized manner

 

Response: In the revised version, we update the references with recent references in the last five years (2016-2021).   The paper is re-organized as the format of Applied Sciences.

 

 

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors tested the Elephant Herding Optimization algorithm on a Photovoltaic Cell. The algorithm is compared to other optimization algorithms. The paper is well written and should lead to a publication.

 

Comments:

• What are the limitations of the EHO?

Author Response

Response to Reviewer # 2

 

Comment: The work is good, but it needs some corrections and clarifications, as follows

The authors tested the Elephant Herding Optimization algorithm on a Photovoltaic Cell. The algorithm is compared to other optimization algorithms. The paper is well written and should lead to a publication.

 Comments:

• What are the limitations of the EHO?

 

Response:  Authors thank this reviewer for his valuable comments and his positive feedback about our work.

We update this part in the conclusion section to cover this comment.

Among the drawbacks of conventional EHO is its scale factor-alpha being a constant value. Additionally, the behavior of EHO requires more attention to the solutions. Therefore, it would be helpful to employ more hybrid solutions, as this study recommends. Moreover, due to the practical nature of elephant herding, there are more processes involved than clan updating and separating. Thus, more models should be developed and incorporated into the EHO method that models elephant behavior. Finally, the main EHO was designed for solving continuous problems, so it must be validated for continuous and discrete problems .

Future work will include extracting parameters for more complex models for more accurate parameter extraction. In addition, the adaptive scaling factor is more promising than being a constant value in the range [0, 1]. Moreover, due to the superiority of the CEHO algorithm, we can do more enhancements to the CEHO algorithm to get more accurate results for more complex optimization problems. Also, more behavior characteristics are recommended to investigate an advanced version of EHO accomplished with new hybrid algorithms. 

Author Response File: Author Response.pdf