Comparative Study on Game-Theoretic Optimum Sizing and Economical Analysis of a Networked Microgrid
Round 1
Reviewer 1 Report
Dear Authors
in your paper, we read about two techniques of game theory that can be considered for sizing and comparative analysis of grid-connected networked microgrid, based on a multi-objective imperialistic competition algorithm ICA for system optimization. The selected networked microgird might have different combinations of generation resources including wind turbine, photovoltaic panels and batteries. I think that the paper is quite good and can be considered for publication because it is very original and interesting.
I suggest to improve references with the following ones paper treating innovative methods to design:
G. Caligiana, A. Liverani, D. Francia, L. Frizziero, G. Donnici, "Integrating QFD and TRIZ for innovative design", Journal of Advanced Mechanical Design, Systems and Manufacturing, Volume 11, Issue 2, 2017, Article number JAMDSM0015
moreover, if yo think it would be useful to deepen the argument about electronic systems and their advanced control, you could also consider the following publication:
L. Piancastelli, L. Frizziero, S. Marcoppido, A. Donnarumma, E. Pezzuti “Fuzzy control system for recovering direction after spinning”, edizioni ETS, “International Journal of Heat & Technology”, ISSN 0392-8764, Volume 29, n.2, pp. 87-93, Bologna 2011
Best Regards
Reviewers
Author Response
Authors’ answers to the Reviewer 1
Point 1: In your paper, we read about two techniques of game theory that can be considered for sizing and comparative analysis of grid-connected networked microgrid, based on a multi-objective imperialistic competition algorithm ICA for system optimization. The selected networked microgird might have different combinations of generation resources including wind turbine, photovoltaic panels and batteries. I think that the paper is quite good and can be considered for publication because it is very original and interesting.
Response 1: First we would like to express our great appreciation to you for taking the time and effort necessary in reviewing the manuscript. The reviews for this paper are well received, instructive, and extremely thorough; indeed, they have resulted in a much stronger paper in the revision.
Point 2. I suggest to improve references with the following ones paper treating innovative methods to design:
Caligiana, A. Liverani, D. Francia, L. Frizziero, G. Donnici, "Integrating QFD and TRIZ for innovative design", Journal of Advanced Mechanical Design, Systems and Manufacturing, Volume 11, Issue 2, 2017, Article number JAMDSM0015Response 2: Thank you very much for your suggestion to improve references. This paper introduced a new strategy for optimization and added in revised paper as reference [8].
(In this paper a new strategy has matrix method is introduced for optimization using a software TechOptimizer to make QDF and TRIZ analysis and to validate a design method for direct open moulds.)
Point 3. Moreover, if you think it would be useful to deepen the argument about electronic systems and their advanced control, you could also consider the following publication:
Piancastelli, L. Frizziero, S. Marcoppido, A. Donnarumma, E. Pezzuti “Fuzzy control system for recovering direction after spinning”, edizioni ETS, “International Journal of Heat & Technology”, ISSN 0392-8764, Volume 29, n.2, pp. 87-93, Bologna 2011Response 3: Thank you very much for your suggestion to consider the publication. We have read the publication, where a Fuzzy control system is introduced to control the brake torque on each single tired has considered. We found that the publication is very good, but not relevant to the submitted manuscript.
Author Response File: 
Author Response.docx
Reviewer 2 Report
Authors use Game theory, Nash equilibria and Shapley values to model a networked microgrid, solving associated optimization problems by MATLAB ICA.
This research aims to study capacity allocation using Nash equilibria. Then, authors use Shapley values to find the annual profit of networked microgrid.
Authors perform a comparative analysis between various game techniques and then calculate maximum profit of each microgrid.
In that analysis, authors consider cooperative game model, where all the players are in coalition with different combinations and, therefore, authors determine the results for all possible coalitions.
The paper is interesting enough and worth of publication, after a careful proofreading and general English revision, in particular punctuation must be improved.
At Page 5 line 108 : check the dates (from June 2015 to May 2015?!)
Author Response
Authors’ answers to the Reviewer 2
Point 1: Authors use Game theory, Nash equilibria and Shapley values to model a networked microgrid, solving associated optimization problems by MATLAB ICA. This research aims to study capacity allocation using Nash equilibria. Then, authors use Shapley values to find the annual profit of networked microgrid. Authors perform a comparative analysis between various game techniques and then calculate maximum profit of each microgrid. In that analysis, authors consider cooperative game model, where all the players are in coalition with different combinations and, therefore, authors determine the results for all possible coalitions.
Response 1: First we would like to express our great appreciation to you for taking the time and effort necessary in reviewing the manuscript. The reviews for this paper are well received, instructive, and extremely thorough; indeed, they have resulted in a much stronger paper in the revision.
Point 2: The paper is interesting enough and worth of publication, after a careful proofreading and general English revision, in particular punctuation must be improved. At Page-5 line-108, check the dates (from June 2015 to May 2015?)
Response 2: We agree with the intent of this comment and therefore punctuation improved accordingly Page 5 line 116 and dates from June 2015 to May 2016.
Author Response File: Author Response.docx
Reviewer 3 Report
The paper use specific algorithm of fame theory.
More justification is needed for the chosen methods. Complexity and termination aspects deserves to be included in the paper.
Kindly see below additional details:
The paper try to address optimization in renewable energy by tackling grid sizing optimization.
The paper choose a microgrid architecture (based on litterature review) and use game theory algorithms to perform optimization.
Section 3 introduces game theory techniques based on Nash equilibrium to perform optimization.
Parameters and choices made in sections 2.1 2.2 deserves better justification and explanation as they are not intuitive to the reader.
Section 3 page 9/15 mention a set of initialization and random value. Same deserves justification and measurement of the impact of the same on the optimization process.
Same apply for the simulation presented and implemented under MATLAB.
The algorithm figure 4 (imperialistic competition) deserves an analysis on complexity and termination as there is no guarantee of such as per the presented algorithm.
Author Response
Authors’ answers to the Reviewer 3
Point 1: The paper use specific algorithm of game theory. More justification is needed for the chosen methods. Complexity and termination aspects deserves to be included in the paper.
Response 1: First we would like to express our great appreciation to you for taking the time and effort necessary in reviewing the manuscript. In this manuscript Imperialistic Competition Algorithm (ICA) is used for optimization of game theory model. Through literature review we have noticed that ICA is more efficient as multiple steps of assimilation, revolution and imperialistic competition are considered to get optimum results. However, we have found that algorithm is quite complex than others like Particle Swarm Optimization (PSO), therefore, iterations take a bit longer time to reach to final results.
Point 2: The paper try to address optimization in renewable energy by tackling grid sizing optimization. The paper choose a microgrid architecture (based on litterature review) and use game theory algorithms to perform optimization. Section 3 introduces game theory techniques based on Nash equilibrium to perform optimization. Parameters and choices made in sections 2.1 2.2 deserves better justification and explanation as they are not intuitive to the reader.
Response 2: Thank you for raising this point. In literature review we have referred few publications [7], [9], [18], and [17] have similar works, and used these standard parameters in objective function to achieve optimum results. These will be useful for interested readers.
Point 3: Section 3 page 9/15 mention a set of initialization and random value. Same deserves justification and measurement of the impact of the same on the optimization process. Same apply for the simulation presented and implemented under MATLAB.
Response 3: We agree with the intent of this comment. As the definition of Nash equilibrium [35] to find the optimum values it starts with the random values within the specified limits of each player capacity, and run the remaining steps as mentioned in Page-9 Section-3. Similar game theory technique Nash equilibrium is used in publications [18], [21], and [16] to achieve the optimum results. In MATLAB “unifrnd” is used to generate the random numbers with lower and upper endpoints.
Point 4: The algorithm figure 4 (imperialistic competition) deserves an analysis on complexity and termination as there is no guarantee of such as per the presented algorithm.
Response 4: Figure-4 is the standard to describe the algorithm (ICA), however, in the objective function all the parameters of proposed model are considered to get optimum results. In the final iterations of algorithm, it reached to the global maximum to get maximum annual profit of networked microgrid. In similar way, ICA is also used in publication [29] listed in literature review for the problems of microgrid optimization.
Author Response File: Author Response.docx
Reviewer 4 Report
The main achievement of this research is making a suitable capacity allocation of generation resources and batteries using Nash equilibrium for each microgrid. This paper is readable and well-written.
However, I also have some comments on this paper. This paper appears to have been written quite some time ago and is only now being put forward for publication. The majority of the references are from the 2011's. There are several works that have been published in recent years. The fact that these are not contained in the literature review, leads me to question whether the research presented is current enough to be published. In order for the manuscript to be publishable, the author(s) will have to clearly demonstrate how they contribute to the current state of research in the area.
For example:
Techno-economic analysis and optimization of a microgrid considering demand-side management SD Nazemi, K Mahani, A Ghofrani, BE Kose, M.A. Jafari, 2019
Energy storage subsidy estimation for microgrid: A real option game-theoretic approach W Chen, Y Zeng, C Xu - Applied Energy, 2019 - Elsevier
A QoS-aware, trust-based aggregation model for grid federations Comi, A., Fotia, L., Messina, F., Rosaci, D., Sarnè, G.M.L. 2014
Author Response
Authors’ answers to the Reviewer 4
Point 1: The main achievement of this research is making a suitable capacity allocation of generation resources and batteries using Nash equilibrium for each microgrid. This paper is readable and well-written.
Response 1: First we would like to express our great appreciation to you for taking the time and effort necessary in reviewing the manuscript. The reviews for this paper are well received, instructive, and extremely thorough; indeed, they have resulted in a much stronger paper in the revision.
Point 2: However, I also have some comments on this paper. This paper appears to have been written quite some time ago and is only now being put forward for publication. The majority of the references are from the 2011's. There are several works that have been published in recent years. The fact that these are not contained in the literature review, leads me to question whether the research presented is current enough to be published. In order for the manuscript to be publishable, the author(s) will have to clearly demonstrate how they contribute to the current state of research in the area. For example:
Techno-economic analysis and optimization of a microgrid considering demand-side management SD Nazemi, K Mahani, A Ghofrani, BE Kose, M.A. Jafari, 2019
Energy storage subsidy estimation for microgrid: A real option game-theoretic approach W Chen, Y Zeng, C Xu - Applied Energy, 2019 - Elsevier
A QoS-aware, trust-based aggregation model for grid federations Comi, A., Fotia, L., Messina, F., Rosaci, D., Sarnè, G.M.L. 2014
Response 2: Thank you for you valuable comments. This manuscript is the extended version of the paper “Optimal sizing of a networked microgrid using Nash equilibrium for Mount Magnet” presented in SPIES2019 conference, therefore, some portion of research work done in the start of year 2019. Moreover, we have revised the literature review and recent publications are included as [8], [21], [22], [23], and [33] and based on that the contribution of the proposed work are presented in the introduction section of the revised manuscript.
Author Response File: Author Response.docx
