Optimal Coordination of Directional Overcurrent Relays Using Hybrid Firefly–Genetic Algorithm
, Maher Khammash 2, Samer Alsadi 3, Osama Omari 1, Shady S. Refaat 4,5, Khaled Al-Qawasmi 6 and Ali Elrashidi 7,*Round 1
Reviewer 1 Report
The paper proposes an effective method. The technical path is reasonable and ideal results can be obtained. Therefore, the attitude towards the paper is positive. The problem is that during the research process, the authors provided too much discussion, including the experimental process and data. It is recommended to highlight the core content of the article so that readers can understand it.
Minor changes required.
Author Response
Concern # 1: The paper proposes an effective method. The technical path is reasonable and ideal results can be obtained. Therefore, the attitude towards the paper is positive. The problem is that during the research process, the authors provided too much discussion, including the experimental process and data. It is recommended to highlight the core content of the article so that readers can understand it.
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript. We appreciate your comments and suggestions for improvement.
Author action: we believe that the extensive discussion, including the experimental process and data, is important for a comprehensive understanding of our proposed method and its results. Furthermore, we believe that including the experimental process and data adds credibility to our findings and allows for a thorough evaluation of the performance of our proposed algorithms. By comparing our results with other optimization methods presented in the literature, we aim to demonstrate the effectiveness and superiority of our approach in minimizing the total operating time of DOCRs. While we understand the importance of conciseness, we believe that retaining the comprehensive discussion and experimental details will provide a more complete and valuable contribution to the field. However, we are open to suggestions on better structuring and organizing the article to enhance readability and emphasize the core content.
Reviewer 2 Report
The manuscript presents an efficient hybrid optimization algorithm that combines the modified firefly algorithm and genetic algorithm to DOCRs.
In the abstract ,authors give the problem ,the solution ,and the experiment result .Readers can easily understand the innovative points of the article.
In Section 1,authors analyzed a large amount of related works and provided their own contributions.
In Section 2,authors provides the formulation of the DOCRs coordination problem.
In Section 3 and 4 ,authors illustrate the details of an efficient hybrid optimization algorithm .
Finally,the proposed algorithms have been tested on three different networks.Extensive testing shows that the effectiveness and superiority of the proposed algorithms .
The manuscript is well written and well organized.In my view ,the only weaknesses is the algorithm mentioned in the manuscript such as Firefly algorithm,and Genetic Algorithm is not a recently developed optimization method.The FA was proposed in late 2007 and 2008,and Genetic Algorithm (GA) was proposed in the 1989.There are many optimization algorithms has emerged in last two years ,such as POA(Pelican Optimization Algorithm),SSA(Sparrow Search Algorithm) ,and etc.Why authors select FA instead of these lastest optimization algorithms?
Author Response
Concern # 1: The manuscript presents an efficient hybrid optimization algorithm that combines the modified firefly algorithm and genetic algorithm to DOCRs. In the abstract, authors give the problem, the solution, and the experiment result . Readers can easily understand the innovative points of the article
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript. We appreciate your positive feedback on the clarity and organization of our article.
Author action: N/A.
In Section 1,authors analyzed a large amount of related works and provided their own contributions.
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript. We appreciate your positive feedback on the clarity and organization of our article.
Author action: N/A.
In Section 2,authors provides the formulation of the DOCRs coordination problem.
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript.
Author action: N/A.
In Section 3 and 4 ,authors illustrate the details of an efficient hybrid optimization algorithm .
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript.
Author action: N/A.
Finally, the proposed algorithms have been tested on three different networks. Extensive testing shows that the effectiveness and superiority of the proposed algorithms .
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript.
Author action: N/A.
Concern # 2: The manuscript is well written and well organized. In my view ,the only weaknesses is the algorithm mentioned in the manuscript such as Firefly algorithm, and Genetic Algorithm is not a recently developed optimization method. The FA was proposed in late 2007 and 2008,and Genetic Algorithm (GA) was proposed in the 1989.There are many optimization algorithms has emerged in last two years ,such as POA(Pelican Optimization Algorithm),SSA(Sparrow Search Algorithm) ,and etc. Why authors select FA instead of these latest optimization algorithms?
Author response: Thank you to the reviewer for the time and effort in reviewing the manuscript.
Author action: we selected Firefly Algorithm and Genetic Algorithm due to their well-established effectiveness in solving complex optimization problems, particularly in power systems. These algorithms have been extensively studied and applied in various domains, including power system optimization, with proven success.
While Firefly Algorithm and Genetic Algorithm may not be recently developed optimization methods, they are still widely used and considered effective optimization methods. Our study aimed to propose an efficient hybrid algorithm for coordinating directional overcurrent relays. We found that the combination of the modified firefly algorithm and genetic algorithm produced superior results compared to other existing methods, including newer optimization algorithms.
Although we acknowledge the emergence of newer algorithms such as POA and SSA, we believe FA and GA provide a strong foundation for our research due to their proven track record and suitability for our specific problem domain. Additionally, our proposed hybrid FA-GA algorithm for DOCRs coordination is a novel contribution to the field. To the best of the authors’ knowledge, this specific combination of algorithms has not been previously optimized for the DOCRs coordination problem, highlighting the originality and novelty of our approach.
