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Article
Peer-Review Record

Energy Management Scheme for Optimizing Multiple Smart Homes Equipped with Electric Vehicles

Energies 2024, 17(1), 254; https://doi.org/10.3390/en17010254
by Puthisovathat Prum 1,2, Prasertsak Charoen 1, Mohammed Ali Khan 2, Navid Bayati 2,* and Chalie Charoenlarpnopparut 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Energies 2024, 17(1), 254; https://doi.org/10.3390/en17010254
Submission received: 4 December 2023 / Revised: 29 December 2023 / Accepted: 31 December 2023 / Published: 3 January 2024
(This article belongs to the Special Issue Energy Management of Smart Grids with Renewable Energy Resource)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

Dear Authors,

The following are the recommended point for consideration for the revised version.

1. In the case that we have abbreviations table in the end of manuscript, Please remove full form of abbreviations in text.

2. What is the scheduler in Figure 1? Please indicate the difference of it with HEM in same figure.

3. In equations 2 and 3, PL is the load demand power, but, I suggest to expand it for the flexible and non-flexible appliance.

4. In line 197 for first time the RTP is defined. Please have a definition about it with more details.

5. Why the time-step of 1 hour is defined in line 207?

6. Please have more discussions on Figure 7.

Thank you.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The review report of manuscript # energies-2781569, entitled “Energy Management Scheme for Optimizing Multiple Smart Homes Equipped with Electric Vehicles”

 

This paper introduces a unique home energy management (HEM) design that accommodates BESS, photovoltaic (PV), and EVs. A Mixed-Integer Linear Programming (MILP) approach is employed to minimize electricity costs. The optimization model factors in real-time pricing (RTP) tariffs and delivers efficient scheduling of appliances, as well as optimal BESS and EV charging and discharging patterns.

 

This paper is well written, and it has an acceptable idea that can be considered for publication after considering the following points:

1-      The abstract did not clearly show the innovation introduced in the paper, I advise the authors to state clearly the innovation introduced in this paper compared to recent studies in this area of research.

2-      The literature review needs further improvements such as the limitations involved in the similar studies and the reasons that motivated the authors to use Mixed-Integer Linear Programming (MILP) as an optimization algorithm, and what is the advantage of this algorithm compared to recent metaheuristic optimization algorithms such as Musical Chairs Algorithm (MCA).

3-      The authors discussed demand-side management, especially the real-time pricing (RTP) technique everywhere in the paper, meanwhile, they did not show similar studies using the same optimization algorithm such as the novel demand side-management strategy for smart grid concepts applications in hybrid renewable energy systems and other studies. Moreover, the RTP is not shown in the paper in terms of how the authors implement it in the methodology and how the response of the customers to the change in tariff (elasticity).

4-      The optimization variables are not clearly stated in the paper and the authors preferred to make it hidden from the readers. I think this point is very important and the authors should show how the EV will charge/discharge based on the tariff price, the SOC of the EV batteries, and the trip performance, etc. Actually, a lot of hidden details that should be included in the paper to help readers fully understand the logic used in the simulation.

5-      Figure 1 and Figure 2 show very similar schematic and I recommend the authors to combine the logic used in these two figures in only one figure and insert more than one flowchart showing the logic used in the simulation. These flowcharts should clearly show the inputs, outputs, the optimization variables, and the logic used to optimize these variables. There is now way to recommend this paper with all of these hidden information in the logic and implementation.

6-      The authors did not show the priority or dispatch procedure used to charge the EV battery or the included battery of the SH system based on the SOC of each one of them.

7-      The condition shown in Eqn. (25) is not realistic and it is not understandable to limit the generation equally between smart homes, what will happen if there is one of these homes are not using the available energy for certain day or days?! I think this condition should be discussed in more detail and should be clearly shown how it can be implemented in the simulation.

8-      I could not understand the results shown in Table 2, how come the cost of electricity of the Traditional SH (114.11 DKK/day) is lower than the one of the Proposed HEM (164.03 DKK/day)?!!

9-      In figure 5, there is charging/discharging values of the EV battery and the BESS, would you please help the readers understand the logic used to schedule these dispatched powers?

10-   The authors should show how the customers cooperate with the change in tariff and based on which terms they cooperated. Moreover, is there any penalties for the customer who does not cooperate with the demand side management strategy introduced in this study?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

All my comments have been addressed, and the manuscript has been modified. I recommend accepting this paper in its current form.

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