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Reviewer #1: In this paper, an equivalent model of micro-grid has been proposed. The proposed model is based on the detailed modeling of components. The proposed method has some potential. However, there are some deficiencies, as follows:
1- The model and its estimated parameters are dependent of the disturbance applied to the microgrid. Therefore, in order to present a general model for the microgrid, different and major disturbances should be applied and studied in the paper. My suggestion is the application of machine learning methods.

2- On page 6, we can read the following text: " The system frequency of the micro-grid is constant when the micro-grid is in grid-connected mode. So, with f ??1 pu, the model of the equivalent static component can be written as:". This is right for the bus connected to the gird, but what about the frequency variations of buses in the microgid. This point  and its effect on the modeling should be considered and discussed.£¨¹ÂµºÔËÐеķÂÕæ½¨Ä££©


Reviewer #4:

1. The authors need in this work to solve several operational issues with the microgrid operating in grid and islanded mode using the proposed model. They presented the main frame of how the model could be designed to solve these issues.  However, they didn't present a specific problem with a specific solution.

2. It is not clear how the proposed model will perform under fault conditions.

3. Provide enough information about the optimization procedure using PSO. The choice of PSO over other algorithms is not clear. Authors need to clearly define why this is the best suitable optimization paradigm.

4. Discuss how practical the proposed model is. Present how fast are the iterations, and how many iterations are needed for a solution convergence. Discuss issues related to algorithmic delays and/or problems, and their respective effect on the results.

5. Discuss how fast your control system reacts in the case of internal contingencies, and how efficient it is to deal with internal faults.

6. Include several case studies for different scenarios. And provide enough numerical data regarding the test scenarios.

7. Finally, have the authors considered the robustness of the proposed model and control scheme? This important issue should be addressed and demonstrated in the paper.

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