In the first chapter the authors traditionally tell about the problem, reflect the known articles on the issue under study. However, the related articles are mostly of Asian origin. It seems that the literature review is very limited and therefore incomplete. It is recommended that the authors expand the geography of the review.

The second section is devoted to the developed structure of PIES. The authors describe the new structure in just a few words, so the section looks terse. This section needs to be expanded here to truly have weight in the article.

The third section is quite well structured, which allows you to quickly understand its essence. There is a lot of mathematical modeling of electrical and thermal loads under different conditions, but the authors do not describe what are the constraints for each mathematical model? The same can be said about the fourth section, which is partly devoted to the formulation of the target function of the total energy distribution model.

In the fifth section, I would like to know what causes the sharp jumps in the graphs and histograms?

Speaking in general about the paper, it has a good background, it is quite well constructed and therefore understandable. In addition to the previous wishes, the authors are recommended to show scientific novelty more explicitly.

Author Response

Dear Reviewer:

On behalf of the co-authors, we are very grateful to you for giving us an opportunity to revise our manuscript. We really appreciate your positive and constructive comments together with suggestions on our manuscript entitled ‘Optimal Configuration of Power/Thermal Energy Storage for Park Integrated Energy System Considering Flexible Load’ (Manuscript No: 2573164). We have therefore studied your comments carefully and tried our best to revise our manuscript accordingly. Notably, the changes are highlighted in red in the revised manuscript. Please see below for a point-by-point response to your comments and concerns.

Comment 1: In the first chapter the authors traditionally tell about the problem, reflect the known articles on the issue under study. However, the related articles are mostly of Asian origin. It seems that the literature review is very limited and therefore incomplete. It is recommended that the authors expand the geography of the review.

Response: We sincerely appreciate the valuable comments. We have checked the literature carefully and added more references into the revised manuscript. The added references are as follows:

References

B. Zeng, J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang, “Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response,” IEEE Trans. Power Syst.,vol. 29, no. 3, pp. 1153–1165, May 2014.
G. Streckiene, V. Martinaitis, A. N. Andersen, and J. Katz, “Feasibility of ˙CHP-plants with thermal stores in the German spot market,” Appl. Energy,vol. 86, pp. 2308–2316, 2009.
X. Zhang, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Optimal expansion planning of energy hub with multiple energy infrastructures,” IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2302–2311, Sep. 2015.
M. Moeini-Aghtaie, P. Dehghanian, M. Fotuhi-Firuzabad, and A. Abbaspour, “Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 699–708, Apr. 2014.
P. F. Bach, “Towards 50% wind electricity in denmark: Dilemmas and challenges,” Eur. Phys. J. Plus, vol. 131, pp. 1–12, 2016.
X. Lu, M. B. McElroy, W. Peng, S. Liu, C. P. Nielsen, and H. Wang,“Challenges faced by China compared with the US in developing windpower,” Nature Energy, vol. 1, 2016, Art. no. 16061.
Setlhaolo D, Xia X, Zhang J. Optimal scheduling of household appliances for demand response[J]. Electric Power System Research, 2014, 116: 24-28.
Rasheed M, Javaid N, Ahamd A, et al. An efficient power scheduling scheme for residential load management in smart homes[J]. Applied Sciences, 2015,5(4):1134-1163
Shao S, Pipattanasomporn M, Rahman S. Development of physical-based demand response-enabled residential load models[J]. IEEE Transactions on Power System, 2013,28(2):607-614.
Sharma I, Dong J, Malikopoulos A A, et al. A modeling framework for optimal energy management of a residential build-ing[J]. Energy and Building,2016,130:55-63.
M. Pirouti, “Modelling and analysis of a district heating network,” Ph.D. dissertation, School Eng., Cardiff Univ., Cardiff, U.K., 2013.
M. G. Nielsen, J. M. Morales, M. Zugno, T. E. Pedersen, and H. Madsen,“Economic valuation of heat pumps and electric boilers in the Danish energy system,” Appl. Energy, vol. 167, pp. 189–200, 2015.
J. Sjodin and D. Henning, “Calculating the marginal costs of a district- ¨ heating utility,” Appl. Energy, vol. 78, pp. 1–18, 2004.
JIANG Wenchao, YAN Zheng, CAO Jia, et al. Multiobjective comprehensive optimal dispatch of energy hub considering flexible load[J]. Electrical Measurement &Instrumentation,2018,55(13):31-39.
SUN Chuan, WANG Longjun, XU Hailin. An interaction load model and its application in microgrid day-ahead economic scheduling[J]. Power System Technology, 2016,40(7):2009-2016.
LIN F, YI J. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J].Energy,2000,25(3):283-298.
ZHENG Guotai, LI Hao, ZHAO Baoguo, et al. Comprehensive optimization of electrical/thermal energy storage equipments for integrated energy system near user side based on energy supply and demand balance[J]. Power System Protection and Control, 2018,46(16):8-18.
XU Qingshan, LI Lin, CAI Jilin, et al. Day-ahead optimized economic dispatch of CCHP multi-microgrid system considering power interaction among microgrids[J]. Automation of Electric Power Systems,2018,42（21）:36-44.
LIU Dichen, MA Hengrui, WANG Bo, et al. Operation optimization of regional integrated energy system with CCHP and energy storage system[J]. Automation of Electric Power Systems, 2018,42(4):113-120.

Comment 2: The second section is devoted to the developed structure of PIES. The authors describe the new structure in just a few words, so the section looks terse. This section needs to be expanded here to truly have weight in the article.

Response: Thank you for your reminder. We have re-written this part according to your suggestion (line 115-137).

Comment 3: The third section is quite well structured, which allows you to quickly understand its essence. There is a lot of mathematical modeling of electrical and thermal loads under different conditions, but the authors do not describe what are the constraints for each mathematical model? The same can be said about the fourth section, which is partly devoted to the formulation of the target function of the total energy distribution model.

Response: Thank you for your suggestion. We have added the constraints for each mathematical model (line 153, 192, 196, 233, 245, 259, 283, 307, 318, 351).

Comment 4: In the fifth section, I would like to know what causes the sharp jumps in the graphs and histograms?

Response: We sincerely thank you for careful reading. The reason for the sharp jump is that the main power grid adopts the time-of-use electricity price, and there is a significant difference between the peak power consumption and the underestimation of power consumption. In addition, after considering the flexible load, the indoor temperature changes within the comfortable temperature range, and the user 's heat load demand is more flexible.

Comment 5: Speaking in general about the paper, it has a good background, it is quite well constructed and therefore understandable. In addition to the previous wishes, the authors are recommended to show scientific novelty more explicitly.

Response: Thank you for your meaningful comments. We have made extensive modifications to our manuscript and supplemented extra mathematical models and methods (line 225-268, 379-389) to make our results convincing. And here we did not list the changes but marked in red in the revised paper. Thank you again for your positive comments and valuable suggestions to improve the quality of our manuscript.

We tried our best to improve the manuscript and made some changes marked in red in revised paper which will not influence the content and framework of the paper. We appreciate for your warm work earnestly, and hope the correction will meet with approval. Once again, thank you very much for your comments and suggestions.

Author Response File: Author Response.docx

Reviewer 2 Report

Dear Authors,

With an interest I have read your manuscript.

My comments to the text:

1. Either paper or articles should be used in the text.

2. It is unclear what PIES and IES stand for (see lines 31 and 34), even though we could guess.

3. The language and sentences are messy. E.g. lines 40-41 "that flexible load has obvious flexibility,"

4. Please check the requirements for punctuation related to the formulas/equations.

5. Rather strange referencing (lines 39 and 43). On the other hand, putting 4 references in one spot without a description of each of them - does not provide much information.

6. Authors describe 4 scenarios, while in figures one can see two lines. No explanation of why and how those two lines were selected.

7. The quality of the figures could be better.

8. Explanation of figures should be more extensive.

9. Is the assumption to have an indoor temperature of 24-26 ir reasonable?

10. Should the electricity price (Tables 1 & 2) be in kWh instead of kW?

The sentences are quite messy. Sometimes seems it was translated into English.

Author Response

Dear Reviewer:

Comment 1: Either paper or articles should be used in the text.

Response: Thanks for your careful checks. Based on your comments, we have made the corrections to correct the “paper” or “articles” into “study” (lines 15,100,115,370,392,395,396,523,549).

Comment 2: It is unclear what PIES and IES stand for (see lines 31 and 34), even though we could guess.

Response: Thank you for your meaningful comments. Based on your comments, we have made the corrections to make the word the word easier to understand throughout the manuscript (lines 31,34).

Comment 3: The language and sentences are messy. E.g. lines 40-41 "that flexible load has obvious flexibility,"

Response: We sincerely thank you for your careful reading. We have invited a friend of ours who is a native English speaker from the UK to help polish our article. And we hope the revised manuscript could be acceptable to you. (line 48” that flexible load has significant flexibility to mobilize”).

Comment 4: Please check the requirements for punctuation related to the formulas/equations.

Response: We feel sorry for our carelessness. In our resubmitted manuscript, the punctuation is revised. Thanks for your correction.

Comment 5: Rather strange referencing (lines 39 and 43). On the other hand, putting 4 references in one spot without a description of each of them - does not provide much information.

Response: We sincerely thank you for your careful reading. We have expanded the information of references(lines 50, 55, 74, 81). At the same time, we have checked the literature carefully and added more references to the revised manuscript. The added references are as follows:

B. Zeng, J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang, “Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response,” IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1153–1165, May 2014.
G. Streckiene, V. Martinaitis, A. N. Andersen, and J. Katz, “Feasibility of ˙CHP-plants with thermal stores in the German spot market,” Appl. Energy, vol. 86, pp. 2308–2316, 2009.
X. Zhang, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Optimal expansion planning of energy hub with multiple energy infrastructures,” IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2302–2311, Sep. 2015.
M. Moeini-Aghtaie, P. Dehghanian, M. Fotuhi-Firuzabad, and A. Abbaspour, “Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 699–708, Apr. 2014.
P. F. Bach, “Towards 50% wind electricity in Denmark: Dilemmas and challenges,” Eur. Phys. J. Plus, vol. 131, pp. 1–12, 2016.
X. Lu, M. B. McElroy, W. Peng, S. Liu, C. P. Nielsen, and H. Wang, “Challenges faced by China compared with the US in developing wind power,” Nature Energy, vol. 1, 2016, Art. no. 16061.
Setlhaolo D, Xia X, Zhang J. Optimal scheduling of household appliances for demand response[J]. Electric Power System Research, 2014, 116: 24-28.
Rasheed M, Javaid N, Ahamd A, et al. An efficient power scheduling scheme for residential load management in smart homes[J]. Applied Sciences, 2015,5(4):1134-1163
Shao S, Pipattanasomporn M, Rahman S. Development of physical-based demand response-enabled residential load models[J]. IEEE Transactions on Power System, 2013,28(2):607-614.
Sharma I, Dong J, Malikopoulos A A, et al. A modeling framework for optimal energy management of a residential building [J]. Energy and Building,2016,130:55-63.
M. Pirouti, “Modelling and analysis of a district heating network,” Ph.D. dissertation, School Eng., Cardiff Univ., Cardiff, U.K., 2013.
M. G. Nielsen, J. M. Morales, M. Zugno, T. E. Pedersen, and H. Madsen,“Economic valuation of heat pumps and electric boilers in the Danish energy system,” Appl. Energy, vol. 167, pp. 189–200, 2015.
J. Sjodin and D. Henning, “Calculating the marginal costs of a district- ¨ heating utility,” Appl. Energy, vol. 78, pp. 1–18, 2004.
JIANG Wenchao, YAN Zheng, CAO Jia, et al. Multiobjective comprehensive optimal dispatch of energy hub considering flexible load[J]. Electrical Measurement &Instrumentation,2018,55(13):31-39.
SUN Chuan, WANG Longjun, XU Hailin. An interaction load model and its application in microgrid day-ahead economic scheduling[J]. Power System Technology, 2016,40(7):2009-2016.
LIN F, YI J. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J].Energy,2000,25(3):283-298.
ZHENG Guotai, LI Hao, ZHAO Baoguo, et al. Comprehensive optimization of electrical/thermal energy storage equipment for integrated energy system near user side based on energy supply and demand balance[J]. Power System Protection and Control, 2018,46(16):8-18.
XU Qingshan, LI Lin, CAI Jilin, et al. Day-ahead optimized economic dispatch of CCHP multi-microgrid system considering power interaction among microgrids[J]. Automation of Electric Power Systems,2018,42（21）:36-44.
LIU Dichen, MA Hengrui, WANG Bo, et al. Operation optimization of regionally integrated energy system with CCHP and energy storage system[J]. Automation of Electric Power Systems, 2018,42(4):113-120.
LIN Li, GU Jia, WANG Ling. Optimal Dispatching of Combined Heat-power System Considering Characteristics of Thermal Network and Thermal Comfort Elasticity for Wind Power Accommodation [J]. Power System Technology,2019,43(10):3648-3655.
GB/T 18049-2000, Moderate thermal environments—Determination of the PMV and PPD indices and specification of the conditions for thermal comfort [S].

Comment 6: Authors describe 4 scenarios, while in figures one can see two lines. No explanation of why and how those two lines were selected.

Response: We sincerely thank you for your careful reading. The reason for choosing these two curves is” Scenarios 1, 2, and 3 do not consider the response effect of thermal flexible loads,” (line 433). In addition, in order to be more easily understood, we added Table 3. (line 408).

Table 3. Configuration scheme

Configuration type	Scenario 1	Scenario 2	Scenario 3	Scenario 4
Energy storage equipment	—	√	√	√
Electric flexible load	—	—	√	√
Thermal flexible load	—	—	—	√

Comment 7: The quality of the figures could be better.

Response: Thanks for your suggestion. In order to improve the quality of the figures, we have modified the lines and dimensions of the graphics. And we hope the revised figures could be acceptable to you.

Comment 8: Explanation of figures should be more extensive.

Response: Thanks for your suggestion. In order to make the figures easier to understand, we have extensively modified the manuscript and added supplementary explanations under some figures (lines 115-137). At the same time, we have made extensive modifications to our manuscript and supplemented extra mathematical models and methods (lines 225-268, 379-389) to make our results convincing.

Comment 9: Is the assumption to have an indoor temperature of 24-26 ir reasonable?

Response: Thank you for your meaningful comments. We have added relevant theoretical basis and references. (lines 420-432, 437).

The PMV thermal comfort model is used to quantify the indoor thermal environment index internationally, and the mathematical model is as follows [34]:

Where: represents the average temperature of the outer surface of the human body in a comfortable thermal environment, which can be set at 33.5 °C. is the room temperature in the t time period; K represents the metabolic rate of the human body, which can be set at 75W/m²; is the thermal resistance of the wearing clothing, which can be taken as 0.11(m²·°C)/W.

The PMV index adopts a seven-level index. When the PMV index is 0, it corresponds to the best comfort state of the human body. When the fluctuates within the interval [ -0.5,0.5], the human body will not feel obvious temperature changes. It is also in a more comfortable temperature range. According to the PMV mathematical model, the room temperature range at this time is calculated to be 21.2 ° C-25.4 ° C.

References

LIN Li, GU Jia, WANG Ling. Optimal Dispatching of Combined Heat-power System Considering Characteristics of Thermal Network and Thermal Comfort Elasticity for Wind Power Accommodation [J]. Power System Technology,2019,43(10):3648-3655.
GB/T 18049-2000, Moderate thermal environments—Determination of the PMV and PPD indices and specification of the conditions for thermal comfort [S].

Comment 10: Should the electricity price (Tables 1 & 2) be in kWh instead of kW?

Response: We feel really sorry for our careless mistakes. In our resubmitted manuscript, we have corrected the kW into kWh (line 399).

Author Response File: Author Response.docx

Reviewer 3 Report

The proposed converter is interesting and is supported with extensive mathematical analysis. However, there are some concerns that should be addressed.

1) The absctrat could be improved.

2) Item 4 is a little confuse.

3) The references are not complete.

Author Response

Dear Reviewer:

Comment 1: The abstract could be improved.

Response: Thanks for your careful checks. Based on your comment, we have revised and supplemented the abstract and introduction. And here we did not list the changes but marked them in red in the revised paper. We hope the revised manuscript could be acceptable to you.

Comment 2: Item 4 is a little confuse.

Response: Thank you for your meaningful comment. We have made extensive modifications to our manuscript and supplemented extra mathematical models and methods to make our results convincing. And here we did not list the changes but marked them in red in the revised paper. Thank you again for your positive comments and valuable suggestions to improve the quality of our manuscript.

Comment 3: The references are not complete.

Response: We sincerely thank you for your careful reading. We have checked the literature carefully and added more references to the revised manuscript. The references are as follows:

Zeng, J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang, “Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response,” IEEE Trans. Power Syst.,vol. 29, no. 3, pp. 1153–1165, May 2014.
Streckiene, V. Martinaitis, A. N. Andersen, and J. Katz, “Feasibility of ˙CHP-plants with thermal stores in the German spot market,” Appl. Energy,vol. 86, pp. 2308–2316, 2009.
Guest editorial: Future distribution grids and integrated energy systems (IES). J. IET Generation, Transmission & Distribution,2022; Volume 16 , Issue 8 , pp. 1473-1475.
Abdalla, A.; Mohamed, S.; Friedrich, K.; Bucking, S.; Cotton, J. S. The impact of clustering strategies to site integrated community energy and harvesting systems on electrical demand and regional GHG reductions. Energy Conversion and Management,2023,288.
Zhang, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Optimal expansion planning of energy hub with multiple energy infrastructures,” IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2302–2311, Sep. 2015.
Moeini-Aghtaie, P. Dehghanian, M. Fotuhi-Firuzabad, and A. Abbaspour, “Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 699–708, Apr. 2014.
F. Bach, “Towards 50% wind electricity in denmark: Dilemmas and challenges,” Eur. Phys. J. Plus, vol. 131, pp. 1–12, 2016.
Lu, M. B. McElroy, W. Peng, S. Liu, C. P. Nielsen, and H. Wang,“Challenges faced by China compared with the US in developing windpower,” Nature Energy, vol. 1, 2016, Art. no. 16061.
Norouzi, F.; Karimi, H.; Jadid, S. Stochastic electrical, thermal, cooling, water, and hydrogen management of integrated energy systems considering energy storage systems and demand response programs. J. Journal of Energy Storage,2023,72(PB).
Jiang, J.W.; Hong, D.D; Xiao, L.Q. Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks. Energy,2022,261(PA).
Feng, P. L.; Wei, W.; Jun, W.; Da, L.; Chuan, L.; Wen, Y.C. Optimal Operation Model of Park Integrated Energy System Considering Uncertainty of Flexible Electrical, Thermal and Gas Load. J. Journal of Physics: Conference Series,2021,2095(1).
Yang, K.X.; Ying, C.; Zi, L.; Lin, Z.L. Low-carbon economic optimal dispatch of integrated energy system considering flexible load. J. Renewable Energy Resources, 2019; Volume 37, Issue 8, pp. 1206-1213.
Lu, C.Z.; Xue, C.; Bin, Z.; et al. Optimal dispatch of combined heat and power system considering flexible load and electric boiler under carbon trading environment. Electrical measurement & instrumentation, 2019; Volume 56, Issue 18, pp. 34-40+56.
Hui, R.L.; Lin, Z.L.; Xiu, Y.; et al. Optimal Dispatch of Community Integrated Energy System Considering User-Side Flexible Load. J. Acta Energiae Solaris Sinica, 2019; Volume 40, Issue 10, pp. 2842-2850.
Setlhaolo D, Xia X, Zhang J. Optimal scheduling of household appliances for demand response[J]. Electric Power System Research, 2014, 116: 24-28.
Chun, Y.J.; Yu, C.Z.; Jia, J.X.; et al. Integrated energy collaborative optimal dispatch considering human comfort and flexible load .J. Electric Power Automation Equipment, 2019; Volume 39, Issue 8, pp. 254-260.
Rasheed M, Javaid N, Ahamd A, et al. An efficient power scheduling scheme for residential load management in smart homes[J]. Applied Sciences, 2015,5(4):1134-1163
Jun, L.Y.; Ting, K.H.; Lei, X.K.; et al. Capacity Optimization Configuration of Grid-Connected Microgrid System Considering Flexible Load.J. Acta Energiae Solaris Sinica, 2021; Volume 42, Issue 2, pp. 309-316.
Mei, Y.L.; Li, J.W.; Lei, H.Y.; et al. Dynamic Optimal Method of Distribution Network in Consideration of Flexible Load Adjustment Capability. High Voltage Engineering, 2021; Volume 47, Issue 1, pp. 73-80.
Fei, J.; Yuan, X.; Shi, M.; et al. Multi-objective optimal strategy for the coordination control between distributed energy storage system and flexible load. C. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), IEEE, 2019; pp. 1711-1715.
Shao S, Pipattanasomporn M, Rahman S. Development of physical-based demand response-enabled residential load models[J]. IEEE Transactions on Power System, 2013,28(2):607-614.
Sharma I, Dong J, Malikopoulos A A, et al. A modeling framework for optimal energy management of a residential building[J]. Energy and Building,2016,130:55-63.
Wei, H. Capacity Optimization of Community Integrated Energy System Considering Electric-Thermal Flexible Load .D. Qinhuangdao: Yanshan University, 2022.
Qiang, R.J.; Zhao, G.M.; Chao, X.Z. Low Carbon Economic Dispatch Method of Electricity Gas Integrated Energy System Considering Flexible Load.J. Industrial Heating, 2022; Volume 51, Issue 5, pp. 36-40.
Pirouti, “Modelling and analysis of a district heating network,” Ph.D. dissertation, School Eng., Cardiff Univ., Cardiff, U.K., 2013.
G. Nielsen, J. M. Morales, M. Zugno, T. E. Pedersen, and H. Madsen,“Economic valuation of heat pumps and electric boilers in the Danish energy system,” Appl. Energy, vol. 167, pp. 189–200, 2015.
Sjodin and D. Henning, “Calculating the marginal costs of a district- ¨ heating utility,” Appl. Energy, vol. 78, pp. 1–18, 2004.
JIANG Wenchao, YAN Zheng, CAO Jia, et al. Multiobjective comprehensive optimal dispatch of energy hub considering flexible load[J]. Electrical Measurement &Instrumentation,2018,55(13):31-39.
SUN Chuan, WANG Longjun, XU Hailin. An interaction load model and its application in microgrid day-ahead economic scheduling[J]. Power System Technology, 2016,40(7):2009-2016.
LIN F, YI J. Optimal operation of a CHP plant for space heating as a peak load regulating plant[J].Energy,2000,25(3):283-298.
ZHENG Guotai, LI Hao, ZHAO Baoguo, et al. Comprehensive optimization of electrical/thermal energy storage equipments for integrated energy system near user side based on energy supply and demand balance[J]. Power System Protection and Control, 2018,46(16):8-18.
XU Qingshan, LI Lin, CAI Jilin, et al. Day-ahead optimized economic dispatch of CCHP multi-microgrid system considering power interaction among microgrids[J]. Automation of Electric Power Systems,2018,42（21）:36-44.
LIU Dichen, MA Hengrui, WANG Bo, et al. Operation optimization of regional integrated energy system with CCHP and energy storage system[J]. Automation of Electric Power Systems, 2018,42(4):113-120.
LIN Li, GU Jia, WANG Ling. Optimal Dispatching of Combined Heat-power System Considering Characteristics of Thermal Network and Thermal Comfort Elasticity for Wind Power Accommodation [J]. Power System Technology,2019,43(10):3648-3655.
GB/T 18049-2000, Moderate thermal environments—Determination of the PMV and PPD indices and specification of the conditions for thermal comfort [S].

We tried our best to improve the manuscript and made some changes marked in red in the revised paper which will not influence the content and framework of the paper. We appreciate your warm work earnestly and hope the correction will meet with approval. Once again, thank you very much for your comments and suggestions.

Author Response File: Author Response.docx

Reviewer 4 Report

This paper presents an optimal allocation approach for thermal and power storage for park integrated energy systems. The proposed method is modeled and simulated for four cases. Here are a few points authors need to consider.

1- The introduction section is not sufficient. As you know there are several storage allocation methods that can be found in the literature. You might need to consider two or three methods and compare them to the proposed methods

2- The number of references should be more than 25 references.

3- Section 4.1.4. You only have an equation in this section. You can add information to explain what the compensation cost is.

4- Several variables are not defined such as Com, Ctrans, Ccut.

5- line 274: An industrial park in the north. Do you mean north of China? Or where?

6- The proposed method is not compared to any other method. Can you add another method to compare with?

Author Response

Dear Reviewer:

Comment 1: The introduction section is not sufficient. As you know there are several storage allocation methods that can be found in the literature. You might need to consider two or three methods and compare them to the proposed methods.

Response: We sincerely appreciate the valuable comments. Based on your comment, we have revised and supplemented the introduction section. And here we did not list the changes but marked in red in the revised paper. We hope the revised manuscript could be acceptable for you.

Comment 2: The number of references should be more than 25 references.

Response: Thank you for your reminder. We have checked the literature carefully and added more references into the revised manuscript. The references are as follows:

B. Zeng, J. Zhang, X. Yang, J. Wang, J. Dong, and Y. Zhang, “Integrated planning for transition to low-carbon distribution system with renewable energy generation and demand response,” IEEE Trans. Power Syst.,vol. 29, no. 3, pp. 1153–1165, May 2014.
G. Streckiene, V. Martinaitis, A. N. Andersen, and J. Katz, “Feasibility of ˙CHP-plants with thermal stores in the German spot market,” Appl. Energy,vol. 86, pp. 2308–2316, 2009.
Guest editorial: Future distribution grids and integrated energy systems (IES). J. IET Generation, Transmission & Distribution,2022; Volume 16 , Issue 8 , pp. 1473-1475.
Abdalla, A.; Mohamed, S.; Friedrich, K.; Bucking, S.; Cotton, J. S. The impact of clustering strategies to site integrated community energy and harvesting systems on electrical demand and regional GHG reductions.J. Energy Conversion and Management,2023,288.
X. Zhang, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Optimal expansion planning of energy hub with multiple energy infrastructures,” IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2302–2311, Sep. 2015.
M. Moeini-Aghtaie, P. Dehghanian, M. Fotuhi-Firuzabad, and A. Abbaspour, “Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability,” IEEE Trans. Sustain. Energy, vol. 5, no. 2, pp. 699–708, Apr. 2014.
P. F. Bach, “Towards 50% wind electricity in denmark: Dilemmas and challenges,” Eur. Phys. J. Plus, vol. 131, pp. 1–12, 2016.
X. Lu, M. B. McElroy, W. Peng, S. Liu, C. P. Nielsen, and H. Wang,“Challenges faced by China compared with the US in developing windpower,” Nature Energy, vol. 1, 2016, Art. no. 16061.
Norouzi, F.; Karimi, H.; Jadid, S. Stochastic electrical, thermal, cooling, water, and hydrogen management of integrated energy systems considering energy storage systems and demand response programs. J. Journal of Energy Storage,2023,72(PB).
Jiang, J.W.; Hong, D.D; Xiao, L.Q. Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks. J. Energy,2022,261(PA).
Feng, P. L.; Wei, W.; Jun, W.; Da, L.; Chuan, L.; Wen, Y.C. Optimal Operation Model of Park Integrated Energy System Considering Uncertainty of Flexible Electrical, Thermal and Gas Load. J. Journal of Physics: Conference Series,2021,2095(1).
Yang, K.X.; Ying, C.; Zi, L.; Lin, Z.L. Low-carbon economic optimal dispatch of integrated energy system considering flexible load. J. Renewable Energy Resources, 2019; Volume 37, Issue 8, pp. 1206-1213.
Lu, C.Z.; Xue, C.; Bin, Z.; et al. Optimal dispatch of combined heat and power system considering flexible load and electric boiler under carbon trading environment. J. Electrical measurement & instrumentation, 2019; Volume 56, Issue 18, pp. 34-40+56.
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Comment 3: Section 4.1.4. You only have an equation in this section. You can add information to explain what the compensation cost is.

Response: Thank you for your suggestion. We have added some information to explain what the compensation cost is. (lines 343-346).

Comment 4: Several variables are not defined such as Com, Ctrans, Ccut.

Response: We sincerely thank you for your careful reading. We feel really sorry for our careless mistakes. Based on your comments, we have defined all variables. Thank you again for your valuable suggestions to improve the quality of our manuscript.

Comment 5: line 274: An industrial park in the north. Do you mean north of China? Or where?

Response: We sincerely thank you for your careful reading.” An industrial park in the north” refers to the industrial park located in Liaoning Province, north of China. We have corrected the “in the north” to “in Liaoning Province of China”. (lines 20,391) Thanks for your correction.

Comment 6: The proposed method is not compared to any other method. Can you add another method to compare with?

Response: Thank you for your meaningful comments. We agree with your suggestion to adopt another method for comparison. In fact, we consider LINGO, CPLEX, and GAMS to build and solve the model, and the results are similar. In view of this, this paper focuses on the application of CPLEX to solve the problem. To make our results convincing, we have made extensive modifications to our manuscript and supplemented extra mathematical models, and the CPLEX solution method is introduced in detail. And here we did not list all the changes but marked them in red in the revised paper. The detailed introduction of the CPLEX solution method is as follows:

4.2. Solving Method

The optimal configuration model of power/thermal energy storage for park integrated energy system considering flexible load is a 0-1 mixed integer nonlinear programming model. The standard form of the model is:

Where: is the objective function; x is the variable to be optimized; is an equality constraint; is an inequality constraint; and are the upper and lower limits of the variables, respectively. is a state variable; m and n are the numbers of equality constraints and inequality constraints, respectively.

Aiming at the above model, in the Matlab environment, this study uses Yalmip to model and uses the commercial solver Cplex to solve.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

good job.

Author Response

Dear Reviewer:

We appreciate your approval of the quality of our manuscript. Once again, thank you very much for your comments and suggestions.

Reviewer 2 Report

Dear Authors,

Thank you very much for the updated version of the manuscript as well as the thorough explanation.

I have several minor editorial comments:

1. References - please check if the several references presented (e.g. lines 33, 37), how they are separated. In your manuscript with dots, in journal energies (several articles) with commas. That was my main point in an earlier comment.

2. Probably in line 100 the sentence should not end with ".", but ":".

3. The first letter of the word after the equation/formula should not be with a capital letter.

4. The comment on indoor temperature was based on experience. Since I am from a region where heating is required, higher temperatures seemed to me slightly high. However, it depends on many factors.

5. In Figures 1 & 2 I would recommend instead of "Time quantum" use "Time span".

6. References - please check whether they correspond to journal requirements (e.g. 1, 2, 5).

I wish you all the best in your research.

Author Response

Dear Reviewer:

On behalf of the co-authors, we are very grateful to you for giving us an opportunity to revise our manuscript again. We sincerely thank you for your valuable feedback that we have used to improve the quality of our manuscript entitled ‘Optimal Configuration of Power/Thermal Energy Storage for Park Integrated Energy System Considering Flexible Load’ (Manuscript No: 2573164). We have therefore studied your comments carefully and tried our best to revise our manuscript accordingly. Notably, the changes are highlighted in red in the revised manuscript. Please see below for a point-by-point response to your comments and concerns.

Comment 1: References - please check if the several references presented (e.g. lines 33, 37), how they are separated. In your manuscript with dots, in journal energies (several articles) with commas. That was my main point in an earlier comment.

Response: We sincerely thank you for your careful checks. We have corrected the "dot" of the relevant part to " comma"(lines 33,37,46,50,78,133,436).

Comment 2: Probably in line 100 the sentence should not end with ".", but ":".

Response: Thank you for your reminder. We have corrected the "." to ":" (line 100).

Comment 3: The first letter of the word after the equation/formula should not be with a capital letter.

Response: We feel sorry for our carelessness. In our resubmitted manuscript, the typo is revised. Thanks for your correction. (lines 146,151,157,167,171,174,185,189,210,216,222,230,235,242,248,255,262,266,285,290,296,304,316,320,328,332,337,343,348,364,372,383,422).

Comment 4: The comment on indoor temperature was based on experience. Since I am from a region where heating is required, higher temperatures seemed to me slightly high. However, it depends on many factors.

Response: We fully endorse your views and sincerely thank you for sharing your understanding of how temperature is defined with us. Thank you again for your positive comments and valuable suggestions to improve the quality of our manuscript.

Comment 5: In Figures 1 & 2 I would recommend instead of "Time quantum" use "Time span".

Response: Thank you for your meaningful comments. We have corrected the " Time quantum " to " Time span " (lines 400,402,417,441,443,455,457,459).

Comment 6: References - please check whether they correspond to journal requirements (e.g. 1, 2, 5).

Response: We sincerely appreciate the valuable comments. We have carefully checked the references in accordance with the requirements of the journal and modified the wrong places (lines 562-629).

We tried our best to improve the manuscript and made some changes marked in red in the revised paper which will not influence the content and framework of the paper. We appreciate your warm work and hope the correction will be approved. Once again, thank you very much for your comments and suggestions.

Author Response File: Author Response.docx

Reviewer 3 Report

The paper was improved and I'm satisfied with the new version.

Author Response

Dear Reviewer:

We appreciate your approval of the quality of our manuscript. Once again, thank you very much for your comments and suggestions.

Reviewer 4 Report

The manuscript is improved based on the previous points.

Author Response

Dear Reviewer:

We appreciate your approval of the quality of our manuscript. Once again, thank you very much for your comments and suggestions.

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Optimal Configuration of Power/Thermal Energy Storage for a Park-Integrated Energy System Considering Flexible Load

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