آکادمی و موسسه علمی پژوهشی ابن سینا

نمونه پاسخ به ریوایز مجله

Title: Resilience-Oriented Energy Management for Multiple Microgrids Coalition Based on a Cooperative Game Theory Model

AUTHORS’ RESPONSE TO REVIEWERS’ AND EDITOR’S COMMENTS

Please find enclosed authors’ answers to reviewers’ comments and suggestions. All comments and suggestions by the reviewers have been accepted and commented to by the authors and the paper has been suitably modified. Blow please find the detailed response to each comment in red. And also the major modification in the revised manuscript is highlighted in yellow.

We appreciate the respected Editor and the respected Reviewers for helping us improve the quality of our manuscript.

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RESPONSE TO REVIEWERS

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COMMENTS FOR THE AUTHORS:

Reviewer #1:
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In this paper, the resilience-oriented energy management of the multiple microgrids is followed. For this purpose, a three level game theory based model is developed for energy management of microgrids. After going through the paper, I found some concerns, as listed below.

• The authors would like to thank the esteemed reviewer for his constructive comments helped us improve the quality of our manuscript.

In order to satisfy the valuable opinion of the respected reviewer, the proposed algorithm is explained in more detail and also a number of important numerical results that show the capability of the proposed method have been added to the abstract.

The revisions related to this comment are highlighted in abstract with yellow background.   

2.  Most of the ideas written were already described in many literatures. The Authors tried to compile it but lack of the enhancement of the interrelation analysis between the references. It is advised that the authors give a deeper analysis on how these ideas become more applicative strategies so that they can contribute to the next step of implementation.

In this article, in order to prove the capability of the proposed method as well as its justification for implementation, in section 4, the results of using the proposed model are compared with conventional two-level models. Also, the results show that by the model proposed in this article, using the energy storage systems, the operating conditions will be close to normal conditions in the conditions of the possibility of disasters (considering the problem of resilience).

The revisions related to this comment are highlighted in subsection 4 with yellow background.

3.  The literature review could be greatly improved. The authors first need to make comparisons of the references and then draw the motivation of the paper. Neither the comparison of references and this work nor the corresponding conclusion is made in the paper. Thus, it is difficult for me to know the novelty and advantages of this paper over other works. To improve this part, the following relevant recent publications should be discussed: Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review; State Evaluation Based on Feature Identification of Measurement Data: for Resilient Power System; A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids; An effective distributed approach based machine learning for energy negotiation in networked microgrids.

In order to satisfy the valuable opinion of the respected reviewer, the deficiencies of the reviewed references and advantage of our paper are added to the introduction. Also, the mentioned publications are reviewed in this section.

The revisions related to this comment are shown in section 1 with yellow background.

4.  In the literature review, I believe the authors should provide a more critical review as they did not mention limitations of the mentioned papers.

In order to satisfy the valuable opinion of the respected reviewer, the deficiencies of the reviewed references are added to the introduction.

The revisions related to this comment are shown in section 1 with yellow background.

5.  More in-depth analysis of the author's contribution of this paper in the introduction section. Furthermore, I would like to see more discussion of the literature so that I can clearly identify the article relates to competing ideas.

In order to satisfy the valuable opinion of the respected reviewer, the deficiencies of the reviewed references and also the justifications of the proposed method are presented.

The revisions related to this comment are shown in section 1 with yellow background.

6.  The relevant discussion and content of the figures and tables in the text are not enough.

It has been tried to add necessary explanations for figures and tables in section 3.

The revisions related to this comment are highlighted in section 3 with yellow background.

7. The results and discussion section needs to be improved in the following aspects, (i) Insights should be presented regarding why the proposed approach performed much better than the existing methods. (ii) The simulations can be designed in a more elaborate way to cover all important aspects of the proposed approach.

In order to show the capability of the proposed method in this article, the operating conditions of the system in terms of interrupted load as well as the operating cost in normal and resilient conditions have been investigated and compared using the model presented in Tables 3 and 4. The results demonstrate that using the proposed model in the interrupted loads ratio in the resilience operation mode is similar to the normal operation. Also, in figure (19), the results of interrupted load in normal and resilient mode based on the method proposed in this article and the two-level method (proposed in previous articles) have been compared with each other. The results show using the proposed model, in the resilience mode the cost of applying to the whole coalition increase slightly relative to the normal mode. On the other hand, in the three-level model, the total cost is reduced by about 5.7 for the normal mode and about 7% for the resilience mode compared to the two-level model.

The revisions related to this comment are highlighted in section 3 with yellow background.

8. The authors must explain how their approach can handle the uncertainties.

In the model proposed in this study, the possibility of disconnection of the communication network with the upstream network is randomly modeled based on the scenario. Indeed, the proposed management model is developed based on the scenario. The scenarios are intended to show the status of the connection line with the upstream network. The Monte Carlo method has been used to generate the scenarios in the proposed model. Also, the scenario reduction process based on the fast forward selection algorithm has been carried out to achieve the desired number of scenarios [16].

  The scenarios generation/reduction process is performed according to the framework shown in Fig. 3. According to this figure, the difference between scenarios in incident mode is based on incident start time.

For example in this paper, it is assumed that the probability of incident occurs in the desired day is 5% and the probability of incident in hours 9:00 to 17:00 is twice as much as other hours.  After generating the scenarios, the fast forward selection algorithm is used for scenario reduction. The time for repairing the connection line and returning it to normal state is considered 6 hours. In practice, these probabilities can be determined based on past experience and historical data.

Beside, in this manuscript, the generation of the wind unit is calculated by the Weibull probabilistic distributed function (PDF).

The revisions related to this comment are highlighted in section 3 with yellow background.