肉桂ibon搜索优化算法降低实际功率损耗

Q3 Environmental Science
L. Kanagasabai
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引用次数: 0

摘要

本文将肉桂-伊本搜索优化算法(CSOA)用于求解功率损耗减少问题。本文的主要目标是降低实际功率损耗、提高电压稳定性和最小化电压偏差。该算法模拟了肉桂的搜索和清除行为。在种群中占据优势的肉桂伊本鸟值得信赖,会被捕食者猎杀,并可靠地试图获得更好的位置,而位于种群内部的肉桂伊本鸟则会靠近较近的种群,以躲避面临的威胁。肉桂ibon搜索算法的系统模型源于肉桂ibon的任意个体。肉桂ibon搜索算法实体显示肉桂ibon的位置。此外,肉桂伊本鸟在使用合作计划时很灵活,它在制造商和搬运工之间交替。肉桂ibon依次识别捕食者的位置;然后他们通过发微博来吸引其他人。一旦恐惧成本超过防御阈值,制造商就会将注意力集中在危险区域。同样,肉桂伊本也经常使用骗子和制造者的伎俩。肉桂ibon位置在溶液区域的分散是多变的。在取代现有人群的情况下,当丢弃任何相邻的肉桂ibon时,采用了脉冲驱动方法。这种风格减少了收敛的趋势,并减少了基于迭代控制和的收敛的不确定性。Cinnamon ibon搜索优化算法(CSOA)在IEEE 30总线系统(有和无L索引)中得到了验证。实现了真正的功率损耗降低。实际功率损耗减少的比例被放大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Power Loss Reduction by Cinnamon ibon Search Optimization Algorithm
In this paper Cinnamon ibon Search Optimization Algorithm (CSOA) is used for solving the power loss lessening problem. Key objectives of the paper are Real power Loss reduction, Voltage stability enhancement and minimization of Voltage deviation. Searching and scavenging behavior of Cinnamon ibon has been imitated to model the algorithm. Cinnamon ibon birds which are in supremacy of the group are trustworthy to be hunted by predators and dependably attempt to achieve a improved position and the Cinnamon ibon ones that are positioned in the inner of the population, drive adjacent to the nearer populations to dodge the threat of being confronted. The systematic model of the Cinnamon ibon search Algorithm originates with an arbitrary individual of Cinnamon ibon. The Cinnamon ibon search algorithm entities show the position of the Cinnamon ibon. Besides, the Cinnamon ibon bird is supple in using the cooperating plans and it alternates between the fabricator and the cadger. Successively the Cinnamon ibon identifies the predator position; then they charm the others by tweeting signs. The cadgers would be focussed to the imperilled regions by fabricators once the fear cost is more than the defence threshold. Likewise, the subterfuge of both the cadger and the fabricator is commonly used by Cinnamon ibon. The dispersion of the Cinnamon ibon location in the solution area is capricious. An impulsive drive approach was applied when dispossession of any adjacent Cinnamon ibon in the purlieu of the present population. This style diminishes the convergence tendency and decreases the convergence inexorableness grounded on the controlled sum of iterations. Authenticity of the Cinnamon ibon Search Optimization Algorithm (CSOA) is corroborated in IEEE 30 bus system (with and devoid of L-index). Genuine power loss lessening is attained. Proportion of actual power loss lessening is amplified.
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来源期刊
Strategic Planning for Energy and the Environment
Strategic Planning for Energy and the Environment Environmental Science-Environmental Science (all)
CiteScore
1.50
自引率
0.00%
发文量
25
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