分数阶衍生蛾焰优化算法在解决定向过流继电器优化协调问题中的新应用

IF 3.6 2区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Abdul Wadood, Herie Park
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引用次数: 0

摘要

在电力系统中,正确协调定向过流继电器(DOCR)至关重要。多回路电力系统中 DOCR 的协调问题是一个优化问题。本研究的目的在于通过与主用和备用 DOCR 的有效协调,最大限度地减少 DOCR 的总运行时间,同时将协调约束条件控制在允许范围内,从而提高保护系统的性能。DOCR 的协调问题是通过开发一种新的应用策略来解决的,这种策略被称为分数阶衍生蛾式火焰优化器(FODMFO)。这种方法将分数微积分(FC)的思想融入到传统蛾焰算法的数学模型中,以改善优化器的特性。然后,FODMFO 方法在标准电力系统中的 DOCR 协调问题上进行了测试,特别是 IEEE 3、8 和 15 总线系统,以及包括单模和多模函数在内的 11 个基准函数。所提方法得出的结果以及与最近开发的其他算法的比较表明,FOD 和 MFO 的组合利用了这些工具的各自优势,提高了优化器的整体效率,找出了全局最优解,并将 DOCR 的总运行时间最小化到最优值。通过使用箱形图、直方图、经验累积分布函数演示和在每个不同模拟中看到的最小适配性演化进行全面的统计研究,FODMFO 的可靠性、优势和可靠性得到了支持。基于这些数据,FODMFO 显然优于其他现代自然启发算法和传统算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Application of Fractional Order Derivative Moth Flame Optimization Algorithm for Solving the Problem of Optimal Coordination of Directional Overcurrent Relays
The proper coordination of directional overcurrent relays (DOCRs) is crucial in electrical power systems. The coordination of DOCRs in a multi-loop power system is expressed as an optimization problem. The aim of this study focuses on improving the protection system’s performance by minimizing the total operating time of DOCRs via effective coordination with main and backup DOCRs while keeping the coordination constraints within allowable limits. The coordination problem of DOCRs is solved by developing a new application strategy called Fractional Order Derivative Moth Flame Optimizer (FODMFO). This approach involves incorporating the ideas of fractional calculus (FC) into the mathematical model of the conventional moth flame algorithm to improve the characteristics of the optimizer. The FODMFO approach is then tested on the coordination problem of DOCRs in standard power systems, specifically the IEEE 3, 8, and 15 bus systems as well as in 11 benchmark functions including uni- and multimodal functions. The results obtained from the proposed method, as well as its comparison with other recently developed algorithms, demonstrate that the combination of FOD and MFO improves the overall efficiency of the optimizer by utilizing the individual strengths of these tools and identifying the globally optimal solution and minimize the total operating time of DOCRs up to an optimal value. The reliability, strength, and dependability of FODMFO are supported by a thorough statistics study using the box-plot, histograms, empirical cumulative distribution function demonstrations, and the minimal fitness evolution seen in each distinct simulation. Based on these data, it is evident that FODMFO outperforms other modern nature-inspired and conventional algorithms.
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来源期刊
Fractal and Fractional
Fractal and Fractional MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.60
自引率
18.50%
发文量
632
审稿时长
11 weeks
期刊介绍: Fractal and Fractional is an international, scientific, peer-reviewed, open access journal that focuses on the study of fractals and fractional calculus, as well as their applications across various fields of science and engineering. It is published monthly online by MDPI and offers a cutting-edge platform for research papers, reviews, and short notes in this specialized area. The journal, identified by ISSN 2504-3110, encourages scientists to submit their experimental and theoretical findings in great detail, with no limits on the length of manuscripts to ensure reproducibility. A key objective is to facilitate the publication of detailed research, including experimental procedures and calculations. "Fractal and Fractional" also stands out for its unique offerings: it warmly welcomes manuscripts related to research proposals and innovative ideas, and allows for the deposition of electronic files containing detailed calculations and experimental protocols as supplementary material.
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