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پاسخ به کامنت های داوران برای مقاله لاتین در زمینه رشته برق (PMU)

پنج سال پیش منتشر شده

تعداد بازدید: 674

کد پروژه: 91511


شرح پروژه

کامنت های داور ها برای مقاله (متصل شده) به شرح زیر است:

.
First of all, the abstract is needed to be re-written to avoid mistakes, omissions, typographical errors etc. There is no two-phase integer linear programming. Indeed the term two-phase integer linear programming exists but it concerns the algorithm behind the (ILP) programming (please see the corresponding article 1). Please find another term to show up the model formulation. A suitable term is a two-stage minimization model based on integer-linear-programming.
Avoid long sentences in the introduction part. Please clarify the term global solution, and how is guaranteed located by an mathematical algorithm? Indeed, the metaheuristic algorithms detect close to near to the optimum point as referred in this study 4. An omission in the introduction part is that the dominant programming technique is the integer-linear programming with binary-valued variables (1, 2, 3). The authors mentioned algorithmic terms such as mixed integer linear programming, binary integer programming, integer linear programming. All the terms refer to the same algorithm (1, 2, 3). integer linear programming with binary-valued variables. Please clarify given that the authors implemented that algorithm for their modeling. An algorithmic part would be useful for the readers for this occasion.
Please clarify the index corresponding the priority of buses. Justify the term ''dilution of critically definition''. Avoid to refer only the article. Please clarify concerning with your study. The characterization of the importance of the buses needs further explanation. The authors claims that their algorithm model minimizes the overall practical costs considering the existence of the critical buses for PMU installation. This optimization process leads to an optimal solution. Practically, in this stage how are excluded the buses with less than 100% priority?
Please clarify the objective function of Esq. (1). Why is important the second and the third terms in nature? This objective function, as posed by the authors, is subject to (i) considering only synchronized measurements (ii) the existence of zero-injection buses (iii) channel limitations and (iv) critical buses. Is it true that the topological transformation concerning the zero-injection buses satisfies numerical the observability according with the criteria of 2?
Concerning the critical buses with 100% priority, is it easier to implement an alternative objective function with given weights to the corresponding buses? Which is the integer linear programming solver? Is it possible to find multiple solutions due to the selection of the initial point? Clarify that the solver has independence from the starting point.
Which is the specific criterion for giving those values to 21 buses? Please correct the sentence, the optimizations are implemented in GAMS. It is not suitable. What about the existence of weak-buses in a power-network 3?  is it possible the implementation of those buses in your model formulation? This reviewer appreciates that the paper is in good direction given that all reasonable queries must be good be answered. So, I recommend minor revision given that this reviewer queries are easy to be answered. Thank you.
References

1.     Theodorakatos, N. (2018). Optimal Phasor Measurement Unit Placement for Numerical Observability Using A Two-Phase Branch-and-Bound Algorithm. International Journal of Emerging Electric Power Systems, 19(3), pp. -. Retrieved 1 Feb. 2019, from doi:10.1515/ijeeps-2017-0231
2.     Korres GN, Manousakis NM, Xygkis TC, Lofberg J. Optimal phasor measurement unit placement for numerical observability in the presence of conventional measurement using semi-definite programming. IET Gener Transm Distrib. 2015;9(15):2427–36.
3.     Babu, R. & Bhattacharyya, B. (2017). Weak Bus-Oriented Installation of Phasor Measurement Unit for Power Network Observability. International Journal of Emerging Electric Power Systems, 18(5), pp. -. Retrieved 1 Feb. 2019, from doi:10.1515/ijeeps-2017-0073
4.     Pal A, Sánchez-Ayala GA, Thorp JS, Centeno VA. A community-based partitioning approach for phasor measurement unit placement in large systems. Electr Power Compon Syst. 2016;44(16):1317–29.



Reviewer: 2

Comments to the Author
In this paper, the author proposed a novel two-phase integer linear programming-based scheme which considered the priority of important buses for solving the optimal PMU placement (OPP) problem. It is an intersting topic. Some comments are as follow:
(1) Line 100 and line 277, the author mentioned that the proposed method is implemented using integer linear programming. However, in the paper, the author did not introduce what is integer linear programming and how it is used. Please kindly address this question.
(2) Line 147-149, the author mentioned that the total cost of the second phase has to be less than the total OPP cost value of the first phase multiplied by an overhead cost factor. So, what is "overhead cost factor" in OPP problem? Why the total cost of the second phase has to be less than the first phase? Please give your explanations or references.
(3) In subsection 3.1.7 and section SIMULATION RESULTS, what does an author refer to as "single contingencies" in a real power system? What are the impacts of the "single contingencies" on the OPP problem? Please give your explanations or references.
(4) Through reading the full text, it can be inferred that different bus lines classification methods will lead to different final PMU installation results for the same power system
. So, is there a more reasonable method for bus lines classification that is different from the method (line 303-317) in this paper?

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