Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement

Round 1

Reviewer 1 Report

This paper is a well executed academic exercise. My only suggestions is that the four case studies are not very well explained in terms of data sources and assumptions used. Please give a detailed data source and methodology of assumptions support.

Author Response

Response to Comments of the Reviewer-1

R1_Comment: - Comments to the Author

This paper is a well-executed academic exercise

Authors Comment: Authors would like to heartily thank the esteemed Reviewer-1 for reviewing our manuscript, and encouraging comments. We sincerely thank the Reviewer-1 for identifying the suitability of the paper for the journal. Point by point reply of the corrections suggested and issues raised by the honourable Reviewer-1 have been considered, addressed, improved, clarified and detailed below.

Thank you very much for your great support and providing important comment to improve quality of the paper.

R1-1:  My only suggestions is that the four case studies are not very well explained in terms of data sources and assumptions used. Please give a detailed data source and methodology of assumptions support.

Response: Authors would like to thank the esteemed Reviewer-1 for reviewing our manuscript and providing this specific comment. Authors would like to submit that data used for the study such as recorded load, interconnection topology of transmission lines, transformers details etc. are taken from the website of Utilities in India, technical details of conductors used for the transmission lines are taken from website of Central Electricity Authority of India. Relevant references for the data sources have been added at [17]-[22] in revised version of the paper and discussed in Section 2 of revised version of the paper. Further, limitations of the study have been included in a separate section 3.5 of revised version of the paper.

Following the esteemed reviewer suggestion, following text has been added to the section 3.5 of revised version of the paper:-

3.5. Limitations of Study

Following are limitations of study presented in this paper:-

• The study is performed considering the transmission planning criteria where all the lines and transformers are considered in the closed conditions. All generators of the network are also considered as integrated to the network and operative. However, State Load Dispatch Center (SLDC) and National Load Dispatch Center (NLDC) issues directions time to time to keep some of the lines in open conditions and some of generators either operate at reduced capacity or might be kept off.
• The generators UGEN-1, UGEN-2 and UGEN-9 used to realize the interconnection with rest of the grid have been assigned fixed capacity in the simulation study. However, in real time scenario power interchange with the test grid and rest of the grid may change.
• The estimated cost is computed using the standard values of recent work orders placed for procurement of the material. However, prices may change depending on the supplier of the material.
• Load projections for the projected year 2032 is computed using the linear model. Hence, it may change depending on the future trends of electrical power utilization.
• The GPOHSA used three parameters (GR, GCD, GCPD) for fitness computation. However, consideration of more parameters might increase the efficiency.

Thank you very much for this important comment which helped to improve the quality of paper.

R1-English: (x) English language and style are fine/minor spell check required

Response: Authors would like to thank the honourable reviewer-1 for this specific comment. We have revised the WHOLE manuscript carefully and improved the language expression, where it needs, to avoid any grammar or syntax error. At some places we have divided long sentences into two sentences for more clarity. Proof reading of the paper has also been carried out by our colleague who is expert of English language. Modified language expressions are highlighted in revised version of the paper by blue colour.

Thank you very much for this important comment which helped to improve quality of the paper.

 

 

 

 

Reviewer 2 Report

1. the spelling of "MATLAB" in line 20 is incorrect.

2. why Fig. 1 contains two identical UT-1's.

3. the absence of units in the vertical coordinates in Fig. 7.

4. whether there is a problem with the data in Tab.6, if it is determined to be existing data then there is no comparability.

5. case-3 and case-4 both use the GPOHSA algorithm for optimisation, but how is this algorithm used in these two cases, what are the similarities and differences in use the paper does not discuss, and what are the results of the three case optimisations, such as DG placement positions? Instead, it should not just give some parameter indicators.

6. In the cost estimation only the cost of the materials used was calculated, but since the GPOHSA algorithm was used to optimise the DG placement and network reconfiguration, the corresponding DG locations in case2, case3 and case-4 are theoretically different, and their corresponding costs in various aspects are also different.

Author Response

Response to Comments of the Reviewer-2

please check the attachment for the figures and tables.

R2_Comment: - Comments to the Author

Authors Comment: Authors would like to heartily thank the esteemed Reviewer-2 for reviewing our manuscript, and encouraging comments. We sincerely thank the Reviewer-2 for suggesting a series of recommendation and suggestion to improve quality of paper. Authors would like to submit that presentation of paper has been improved significantly in revised version. Point by point reply of the corrections suggested and issues raised by the honourable Reviewer-2 have been considered, addressed, improved, clarified and detailed below.

Thank you very much for your great support and providing a series of recommendation and suggestion.

R2-1:   The spelling of "MATLAB" in line 20 is incorrect

Response: Authors would like to thank the honourable reviewer-2 for this specific comment which helped to improve quality of paper and make it error free. Authors would like to submit that spelling of “MATLAB” has been corrected in Abstract of Revised version of the paper.

Thank you very much for this important comment which helped to make the paper error free.  

R2-2:  why Fig. 1 contains two identical UT-1's.

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and pointing out the requirement to improve quality of Figure 1. Authors would like to submit that numbering of UTs has been corrected in Figure-1. In revised version, UT-1 is used only once and numbering for all other UTs has been corrected.

Following the esteemed reviewer suggestion, quality of Figure 1 has been improved as detailed below:-

Figure 1: Test transmission utility network

Thank you very much for important comment which helped to improve quality of Figure-1.  

R2-3:   The absence of units in the vertical coordinates in Fig. 7.

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and pointing out the requirement to add units in the vertical coordinates in Fig. 7. Authors would like to submit that necessary correction has been applied to Fig, 8 and unit in the vertical coordinates has been incorporated in Revised Version of the paper. Fig. 7 of original submission has been changed to Fig. 8 in revised version. Here, voltage indicates the vertical coordinates which is expressed in per unit (pu) system.

Following the esteemed reviewer suggestion, quality of Figure 8 has been improved as detailed below:-.

Figure 8 Computed voltages on the nodes of test network

Thank you very much for important comment which helped to improve quality of Figure-8. 

R2-4:    Whether there is a problem with the data in Tab.6, if it is determined to be existing data then there is no comparability.

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and providing this specific comment which helped to improve the quality of paper. Authors would like to submit that data included in Table 6 indicates the performance indexes which are computed using data included in Table 4 and mathematical expressions included in Section 3.4. Necessary text has been included in Section 4.4 of revised version of the paper to improve readability of the paper.

Following the esteemed reviewer suggestion, following text has been included in Section 4.4 of revised version of paper.

These performance indicators are computed using data included in Table 4 and mathematical expressions included in Section 3.4. SPLRI for study case-2 is computed as detailed below:-

 

The SPLRI for the study case-3 and 4 are also computed using the above relation and included in Table 6. The SQLRI for study case-2 is computed as detailed below:-

 

 

The SQLRI for the study case-3 and 4 are also computed using the above relation and included in Table 6. The SNVDRI for study case-2 is computed as detailed below:-

 

The SNVDRI for the study case-3 and 4 are also computed using the above relation and included in Table 6. Table 6, depicts that SPLRI is maximum for the study case-4 and minimum for the study case-2. Similar, trend is also followed for the SQLRI and SNVDRI. Hence, it is concluded that hybrid combination of DG placement using the GPOHSA and network restructuring helps to improve performance of the test network maximum compared to all study cases in terms of SPL, SQL and SNVD.

Thank you very much for important comment which helped to improve quality of the paper.  

R2-5:  case-3 and case-4 both use the GPOHSA algorithm for optimization, but how is this algorithm used in these two cases, what are the similarities and differences in use the paper does not discuss, and what are the results of the three case optimizations, such as DG placement positions? Instead, it should not just give some parameter indicators.

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and providing this specific comment. Authors would like to submit that implementation steps of GPOHSA for optimal DG placement and sizing in the test network have been included in section 3.3 of revised version of paper. Further, sizes and location nodes of the DG units computed using GPOHSA for study case-3 and study case-4 have been included in Table 3 of revised paper. Study case-3 and study case-4 differs in the additional network added in study case-4 due to network restructuring.

Following the esteemed reviewer suggestion, following text has been incorporated/modified in the Section 3.3 of the revised version of the paper:-

Following are steps of implementation of GPOHSA for optimal DG placement:-

• Simulate the test network of study case-1 without restructuring and test network of study case-2 considering restructuring. Compute all the parameters such as real power loss, reactive power loss, voltage deviations and voltages network buses.
• Simulate test network of study case-1 without restructuring and test network of study case-2 considering restructuring along with DG placement using GPOHSA. Objective functions elaborated in section 3.2 are computed and position as well size of the DG units is iteratively changed to minimize the objectives functions. The constraint boundaries of objectives are identified in entire population for setting the grid structure of objective functions.
• Minimum and maximum bounds of grid in objectives are computed using below detailed relations [26].

 

• The fitness is computed using the three grid dependent criteria which includes the grid ranking (GR), grid crowding distance and grid coordinate point distance are used by the GPOHSA to rank the individuals with better fitness. Convergence is computed utilizing the GR and grid coordinate point distance (GCPD). Grid crowding distance (GCD) is utilized for computing the diversity of entities.
• Size and location of DG units corresponding to minimum values of objective functions is suggested as optimal solution.

 

Following the esteemed reviewer suggestion, following Table 3 has been included in revised version of the paper and cited in Section 4.1.3 and Section 4.1.4:-

Table 3. Computed Capacity and Nodes for Placement of DG Units

S. No.	Node No.	DG Capacity (MW)
		Study Case-3	Study Case-4
1	19	-	51.1221
2	26	-	115.7932
3	51	51.3345	187.9960
4	52	158.0188	-
5	64	198.4793	-

Thank you very much for important comment which helped to improve the quality of paper.

R2-6:  In the cost estimation only the cost of the materials used was calculated, but since the GPOHSA algorithm was used to optimize the DG placement and network reconfiguration, the corresponding DG locations in case2, case3 and case-4 are theoretically different, and their corresponding costs in various aspects are also different.

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and providing this specific comment. Authors would like to submit that cost of erection of DG units of solar PV plants is computed considering the base cost for DG unit of capacity 10 kW which is equal to Indian Rupees (INR) 82000. This cost includes the cost of wiring charges, operation and maintenance cost. Further, in case-2 DG units are not used which was indicated in Table 8. Necessary correction has been applied in Table 8. Actually, the cost indicated was the cost of additional transmission system for study case-2. Further, authors would like to submit that cost used for cost estimation is tentative and it may vary depending on the period of execution of scheme. However, these changes will be same for all cases of study. Therefore, merit of study cases will not change in future time. Necessary changes have been applied in Section 5 of revised paper.

Following the esteemed reviewer suggestion, following text has been added in section 5 of the revised version of the paper:-

The cost of erection of DG units of solar photovoltaic (PV) plants is computed considering the base cost for DG unit of capacity 10 kW which is equal to Indian Rupees (INR) 82000 [29]. This cost includes the cost of wiring charges, operation and maintenance cost. This cost used for cost estimation is tentative and it may vary depending on the period of execution of scheme. However, these changes in cost will be same for all the cases of study. Therefore, merit of study cases will not change in future time.

Thank you very much for important comment which helped to improve the quality of paper.

R2-English: (x) English language and style are fine/minor spell check required

Response: Authors would like to thank the honourable reviewer-2 for this specific comment. We have revised the WHOLE manuscript carefully and improved the language expression, where it needs, to avoid any grammar or syntax error. At some places we have divided long sentences into two sentences for more clarity. Proof reading of the paper has also been carried out by our colleague who is expert of English language. Modified language expressions are highlighted in revised version of the paper by blue colour.

Thank you very much for this important comment which helped to improve the quality of the paper.

 

 

 

 

Author Response File: Author Response.pdf

Reviewer 3 Report

The author's work is too limited in originality as well as new contributions.

Below are a few comments from this reviewer.

1.       The title is too long and should be shortened; when a reader reads the title cannot suffice his expectations of the content.

2.       The authors did not well clarify what DGs they have used intermittent renewable resources or conventional. Few references are given below that can help authors get an overview of previous research and studies on considering variaity of uncertain renewable resources.

a.       Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network. IET Generation, Transmission & Distribution, 2018

b.       Optimal multi-configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage system: a multi-objective approach in a real distribution network. IET Renewable Power Generation

c.       Optimal sizing of multiple renewable energy resources and PV inverter reactive power control encompassing environmental, technical, and economic issues. IEEE Systems Journal

 

3.       The authors overlooked previous studies on multi-objective optimizations, they are encouraged to have more background studies on Pareto-based multi-objective optimization.

 

a.       Multi-objective time-variant optimum automatic and fixed type of capacitor bank allocation considering minimization of switching steps. AIMS Energy, 2019

b.       Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network. International Journal of Electrical Power & Energy Systems (Elsevier), 2021

4.       What about 24-hour or yearly analysis? This work can be well validated using longer steps optimization.

5.       What about distributed storage systems? The authors are encouraged to add storage units beside DGs, as it is considered a complement to DG for uncertainty management.

 

 

Author Response

Response to Comments of the Reviewer-3

please check the attachment for the figure

R3_Comment: - Comments to the Author

The author's work is too limited in originality as well as new contributions. Below are a few comments from this reviewer.

Authors Comment: Authors would like to heartily thank the esteemed Reviewer-3 for reviewing our manuscript, and providing a series of comments and suggestions to improve quality of the paper. Authors would like to submit that presentation of paper has been improved significantly in revised version, additional information is added and contribution is highlighted, future scope of research is also pointed out, and additional research work is discussed to improve quality of the paper. Point by point reply of the corrections suggested and issues raised by the honourable Reviewer-3 have been considered, addressed, improved, clarified and detailed below.

Thank you very much for your great support and providing a series of recommendation and suggestion which helped to improve quality of the paper.

R3-1:   The title is too long and should be shortened; when a reader reads the title cannot suffice his expectations of the content.

Response: Authors would like to thank the honourable reviewer-3 for this specific comment which helped to shorten the title of the paper. Authors would like to submit that title of the paper has been shortened as suggested by the esteemed Reviewer.

Following the esteemed reviewer suggestion, title of the paper has been shortened in revised version of paper as detailed below:-

Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement

Thank you very much for this important comment which helped to shorten the title of paper.  

R3-2:  The authors did not well clarify what DGs they have used intermittent renewable resources or conventional. Few references are given below that can help authors get an overview of previous research and studies on considering variety of uncertain renewable resources.

1. Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network. IET Generation, Transmission& Distribution, 2018
2. Optimal multi-configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage system: a multi-objective approach in a real distribution network. IET Renewable Power Generation
3. Optimal sizing of multiple renewable energy resources and PV inverter reactive power control encompassing environmental, technical, and economic issues. IEEE Systems Journal

Response: Authors thank the esteemed reviewer-3 for reviewing our manuscript and pointing out the requirement to clarify the type of DGs used for the study. Authors would like to submit that Solar PV systems are used as DG sources. Reason behind the selection of solar PV systems is that the power system network considered for the study is located in a high solar insolation zone. Therefore, solar PV systems can be easily deployed in the system with high CUF. Necessary text has been added in Section 2 of revised version of the paper to point out the reason of selection of solar PV as DG. Further, data and modelling of the solar PV system used for study have also been discussed in Section 2 of revised paper. The suggested papers have been discussed in the Introduction section of paper which further strengthens the base of the presented study.

Following the esteemed reviewer suggestion, following text and figure have been incorporated in Section 2 of Revised Paper.

The solar photo-voltaic (PV) systems are used as distributed generators (DG) for this study. The solar PV system is considered as DG units because the power system network considered for the study is located in a high solar insolation zone. Therefore, solar PV systems can be easily deployed in the system with high capacity utilization factor (CUF). The solar PV system is consists of PV arrays. The PV arrays are formed by series and parallel combination of solar cells to meet the required voltage and power levels. Solar cell is formed by a p-n junction fabricated in a thin layer of semiconductor similar to a p-n diode. The operational characteristic of the solar cell is also similar to p-n junction diode which depends on solar radiations as well as surface temperature. The single diode equivalent model of solar cell due to it’s simplicity and sufficient accuracy is used in this study which is illustrated in Fig. 2. Detailed description and design data used for the study are available in [23] [24].

Figure 2. Representation of solar cell using Single-diode equivalent circuit

[23] Mahela, O.P.; Shaik, A.G. Comprehensive overviewof grid interfaced solar photovoltaic systems. Renewable and Sustainable Energy Reviews 2017, 68, 316–332. doi:https://doi.org/10.1016/j.rser.2016.09.096

[24] Mahela, O.P.; Shaik, A.G. Detection of power quality events associated with grid integration of 100kW solar PV plant. 2015 International Conference on Energy Economics and Environment (ICEEE), 2015, pp. 1–6. doi:10.1109/EnergyEconomics.2015.7235070.

Following the esteemed reviewer suggestion, following text has been incorporated in Section 1 of Revised Paper.

In [12], authors designed a method for optimal sizing of Multiple renewable energy (RE) generators considering PV Inverter reactive power control to address the environmental, technical, and economic issues. It is established that design approach helps to achieve carbon emission reduction, better technical aspect, annual saving, and grid power alleviation. In [13], authors presented a Genetic algorithm (GA) supported Newton–Raphson power flow approach for power loss minimization in practical distribution network at Kabul city by optimal use of rooftop solar PV as distributed generation. Voltage deviation minimization is also achieved using this method. In [14], authors designed a multi-objective method for optimal multi-configuration and placement of step-voltage regulators (SVR), capacitor, centralized wind farm, and energy storage system in a practical distribution network. Study is validated on 162-bus distribution network in Kabul city.

[12] Ahmadi, M.; Lotfy, M.E.; Shigenobu, R.; Howlader, A.M.; Senjyu, T. Optimal Sizing of Multiple Renewable  Energy Resources and PV Inverter Reactive Power Control Encompassing Environmental, Technical, and  Economic Issues. IEEE Systems Journal 2019, 13, 3026–3037. doi:10.1109/JSYST.2019.2918185.

[13] Ahmadi, M.; Lotfy, M.E.; Shigenobu, R.; Yona, A.; Senjyu, T. Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network. IET Generation, Transmission & Distribution 2018, 12, 303–309, [https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2017.0687]. doi:https://doi.org/10.1049/iet-gtd.2017.0687.

[14] Ahmadi, M.; Lotfy, M.E.; Danish, M.S.S.; Ryuto, S.; Yona, A.; Senjyu, T. Optimal  multi-configuration and allocation of SVR, capacitor, centralised wind farm, and energy storage  system: a multi-objective approach in a real distribution network. IET Renewable Power Generation 2019, 13, 762–773, [https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2018.5057]. doi:https://doi.org/10.1049/iet-rpg.2018.5057.

 

Thank you very much for important comment which helped to improve the quality of paper. 

R3-3:   The authors overlooked previous studies on multi-objective optimizations, they are encouraged to have more background studies on Pareto-based multi-objective optimization.

1. Multi-objective time-variant optimum automatic and fixed type of capacitor bank allocation considering minimization of switching steps. AIMS Energy, 2019
2. Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network. International Journal of Electrical Power & Energy Systems (Elsevier), 2021

Response: Authors thank the esteemed reviewer-2 for reviewing our manuscript and suggesting the relevant references to improve the background study of the paper.  Authors would like to submit that suggested papers have been discussed in Introduction section of the revised version of the paper.

Following the esteemed reviewer suggestion, following text has been incorporated in Section 1 of Revised Paper.

In [15], authors introduced a Multi-objective method for time-variant and optimal placement of automatic and fixed type capacitor bank in a distribution network to minimize capacitor switching steps. In [16], authors presented a multi-objective multi-verse optimization (MOMVO) method for optimal coordination of centralized and distributed RE generators equipped with battery storage system into a distribution network. Study is validated on 68-bus practical distribution network in Kabul city.

[15] Ahmadi, M.; Danish, M.S.S.; Lotfy, M.E.; Yona, A.; Hong, Y.Y.; Senjyu, T. Multi-objective time-variant  optimum automatic and fixed type of capacitor bank allocation considering minimization of switching  steps. AIMS Energy 2019, 7, 792–818. doi:10.3934/energy.2019.6.792.

[16] Ahmadi, M.; Adewuyi, O.B.; Danish, M.S.S.; Mandal, P.; Yona, A.; Senjyu, T. Optimum coordination of  centralized and distributed renewable power generation incorporating battery storage system into the  electric distribution network. International Journal of Electrical Power Energy Systems 2021, 125, 106458. doi:https://doi.org/10.1016/j.ijepes.2020.106458.

Thank you very much for important comment which helped to improve quality of the paper.   

R3-4:    What about 24-hour or yearly analysis? This work can be well validated using longer steps optimization.

Response: Authors thank the esteemed reviewer-3 for reviewing our manuscript and pointing out the requirement to include additional discussion of literature. Authors would like to submit that proposed study is performed to support the long term planning to mitigate transmission constraints in the southern part of Rajasthan, India with objective of minimum losses and better voltage profile. Hence, 24-hours and yearly variations of the load has not been considered. Study focused on the peak loading conditions so that network may suffice in high loading scenario on time horizon of 10 year. Necessary text has been added in Section 3 of revised paper for more clarity.

Following the esteemed reviewer suggestion, following text has been added in Section 3 of  Revised Paper.

The proposed study is performed to support the long term planning to mitigate transmission constraints in the southern part of Rajasthan, India with objective of minimum losses and better voltage profile. Hence, 24-hours and yearly variations of the load has not been considered. Study is focused on the peak loading conditions so that network may suffice in high loading scenario on time horizon of 10 year.

Thank you very much for important comment which helped to improve quality of the paper. 

R3-5:  What about distributed storage systems? The authors are encouraged to add storage units beside DGs, as it is considered a complement to DG for uncertainty management.

Response: Authors thank the esteemed reviewer-3 for reviewing our manuscript and providing this specific comment. Authors would like to submit that distributed battery energy storage system (BESS) will improve performance of the power system network. This provides lifetime improvement (LI), reduction in cost of system, optimal sizing (OS), mitigating power quality (PQ) issues, optimal control of power system (OCP), and peak load shifting [25]. Optimal placement of DG and BESS hybrid systems in the Indian grid is considered as future research scope. Necessary text has been included in Section 2 and Conclusion of revised version of the paper.

Following the esteemed reviewer suggestion, following text has been incorporated in the Section 2 of revised version of the paper:-

Distributed battery energy storage system (BESS) will improve the performance of power system network. This provide life time improvement (LI), reduction in cost of system, optimal sizing (OS), mitigating power quality (PQ) issues, optimal control of power system (OCP), and peak load shifting [25]. Optimal placement of DG and BESS hybrid systems in the Indian grid is considered as future research scope.

Following the esteemed reviewer suggestion, following text has been incorporated in the Conclusion Section of revised version of the paper:-

Investigation of daily and annual variations of RE generation and optimal placement of hybrid combination of DG and BESS is considered as future research scope.

[25] Rana, M.M.; Uddin, M.; Sarkar, M.R.; Shafiullah, G.; Mo, H.; Atef, M. A review on hybrid photovoltaic  Battery energy storage system: Current status, challenges, and future directions. Journal of Energy Storage 2022, 51, 104597. doi: https://doi.org/10.1016/j.est.2022.104597

Thank you very much for important comment which helped to improve the quality of paper.

R3-English: (x) Moderate English changes required

Response: Authors would like to thank the honourable reviewer-3 for this specific comment. We have revised the WHOLE manuscript carefully and improved the language expression, where it needs, to avoid any grammar or syntax error. At some places we have divided long sentences into two sentences for more clarity. Proof reading of the paper has also been carried out by our colleague who is expert of English language. Modified language expressions are highlighted in revised version of the paper by blue colour.

Thank you very much for this important comment which helped to improve the quality of the paper.

 

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

No suggestions

Author Response

Response to Comments of the Reviewer-2

R1_Comment: - Comments to the Author

No suggestions

Authors Comment: Authors would like to heartily thank the esteemed Reviewer-2 for reviewing our manuscript, and encouraging comments. We sincerely thank the Reviewer-2 for identifying the suitability of the paper for the journal. We have revised the manuscript to improve the quality of paper in all sections including the results section. All changes at this revision stage have been highlighted in red colour.

Thank you very much for your great support and providing important comment to improve quality of the paper.

R2-English: (x) I don't feel qualified to judge about the English language and style

Response: Authors would like to thank the honourable reviewer-2 for this specific comment. We have revised the WHOLE manuscript carefully and improved the language expression, where it needs, to avoid any grammar or syntax error. Proof reading of the paper has also been carried out by our colleague who is expert of English language. Modified language expressions are highlighted in revised version of the paper by blue colour.

Thank you very much for this important comment which helped to improve quality of the paper.

Author Response File: Author Response.docx

Reviewer 3 Report

No further comments at this stage from this reviewer. 

Author Response

Response to Comments of the Reviewer-3

R3_Comment: - Comments to the Author

No further comments at this stage from this reviewer. 

Authors Comment: Authors would like to heartily thank the esteemed Reviewer-3 for reviewing our manuscript, and encouraging comments. We sincerely thank the Reviewer-3 for identifying the suitability of the paper for the journal. We have revised the manuscript to improve the quality of paper in all sections. All changes at this revision stage have been highlighted in red colour.

Thank you very much for your great support and providing important comment to improve quality of the paper.

R3-English: (x) I don't feel qualified to judge about the English language and style

Response: Authors would like to thank the honourable reviewer-3 for this specific comment. We have revised the WHOLE manuscript carefully and improved the language expression, where it needs, to avoid any grammar or syntax error. Proof reading of the paper has also been carried out by our colleague who is expert of English language. Modified language expressions are highlighted in revised version of the paper by blue colour.

Thank you very much for this important comment which helped to improve quality of the paper.

Author Response File: Author Response.docx