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Sustainability
Volume 14
Issue 7
10.3390/su14073764
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Article
Peer-Review Record

PV Array Reconfiguration Based on Genetic Algorithm for Maximum Power Extraction and Energy Impact Analysis

Sustainability 2022, 14(7), 3764; https://doi.org/10.3390/su14073764
by Mariana Durango-Flórez 1,*,†, Daniel González-Montoya 1,†, Luz Adriana Trejos-Grisales 2,† and Carlos Andres Ramos-Paja 3
Reviewer 1: Anonymous
Reviewer 2:
Mark Sh. Levin
Sustainability 2022, 14(7), 3764; https://doi.org/10.3390/su14073764
Submission received: 18 February 2022 / Revised: 18 March 2022 / Accepted: 20 March 2022 / Published: 23 March 2022

Round 1

Reviewer 1 Report

The paper is well-written and clearly states its contribution.

The only issue that must be noticed before acceptance is that the parameters of genetic algorithm is not clear to the reader. For example, it remain unclear that which type of crossover is finally used. 

Furthermore please be more clear in line 207: "mutation of 0.01 and crossover of 0.01" about what these values are.

I think anyone who gave you the comment of lines 181-182, which you probably forgot to remove, was right. Please give more attention to this section and make the type and parameters of GA clear to the readers.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

1.In recent decade the importance of system configuration/reconfiguration issues has been increased. The issues are intensively studied in various domains. Mainly, approaches based on AI techniques including evolutionary computation and combinatorial problems (e.g., satisfiability problems) are examined.

2.This paper describes a procedure based on a GA for the reconfiguration and energy impact analysis tool by comparing the power levels of different PV array sizes and configurations under distinct environmental conditions.

3.The proposed procedure leads to decreasing the computational burden for PV array simulations.

4.The suggested GA-based tool can work under changing environmental conditions such as dynamic shadows to calculate the appropriate PV array configuration in the PV array installation place.

5.The paper involves a useful analysis of the suggested approach.

6.It may be interesting to add a brief structured survey on other approaches to system reconfiguration (e.g., table and/or figure with approaches taxonomy).

7.In general, the paper material will be interesting and useful for many readers.

Author Response

Please see the attachment

Round 2

Reviewer 1 Report

Thanks to the autgors for their efforts. Since they have appropriately addressed all my concerns, I think the paper is ready to be published.

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