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Peer-Review Record

A Bi-Layer Multi-Objective Techno-Economical Optimization Model for Optimal Integration of Distributed Energy Resources into Smart/Micro Grids

Energies 2020, 13(7), 1706; https://doi.org/10.3390/en13071706
by Mostafa Rezaeimozafar 1,*, Mohsen Eskandari 2, Mohammad Hadi Amini 3, Mohammad Hasan Moradi 4 and Pierluigi Siano 5
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Energies 2020, 13(7), 1706; https://doi.org/10.3390/en13071706
Submission received: 5 March 2020 / Revised: 25 March 2020 / Accepted: 28 March 2020 / Published: 3 April 2020
(This article belongs to the Special Issue Computational Intelligence Applications in Smart Grid Optimization)

Round 1

Reviewer 1 Report

This paper is interesting and novel. However, I have some minor concerns to address as follows. 

1. What is the major novel/contribution of this paper? In my view, there are many techniques adopted in the recent past for this problem. So, the authors should improve the section with the references. Please explain the main contribution related to previous approaches, and provide a list of paper’s contributions at the end of the introduction. 

2. Please add the reference for the equations (1), (5). 

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper looks at the optimisation of an energy grid with mixed generation, renewable generation, storage and electric vehicle charging. The control of such a system is a difficult task, and therefore the control problem is optimised together with the dimensioning of the grid and its components using a genetic optimisation algorithm. 

The paper is well written, clearly structured, and it addressed a problem that is increasingly recognised across different industries: it is no longer possible to optimise a system without considering the control scheme. In this sense, the paper makes a novel and timely contribution. 

However, there are also two obvious shortcomings related to the control strategy. A) It is not clear why a fuzzy controller is used, because it does have many of the downsides of a piecewise linear controller, but a higher computational effort. B) The fuzzy controller needs to be discussed in more detail. COG defuzzification is well defined, but the inference steps need to be discussed in more detail. 

With some additions to address these points, the paper is suitable for publication. 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

 

 

       

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

 

The manuscript has been effectively improved based on the previous comments. As a result, this paper is recommended to publication with no need to further review.

 
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