基于改进羊群遗传算法的输电线路故障检测与定位

C. Prasath, N. Subramaniam
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引用次数: 0

摘要

电力传输是当今世界发展迅速的领域之一。本文旨在利用改进羊群遗传算法(ISFHA- Improved Sheep Flock genetic Algorithm)为故障的准确检测和定位提供一种解决方案。有必要在电能质量传输方面满足客户。由于短路、自然灾害等问题,电能质量会受到损害。利用ISFH算法的局部搜索和全局搜索技术,可以实现故障估计和故障定位。由于ISFHA采用了优化方法,因此故障检测和定位精度高。此外,ISFHA参数如种群、交叉和染色体生成(包括适应度函数)对优化结果的影响。将仿真结果与已有的遗传算法结果进行了比较,对ISFHA的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Sheep Flock Heredity Algorithm based fault detection and localization in power transmission lines
Power transmission is one of the fields drastically growing in the world presently. In this paper, it is aimed to provide a solution for detecting the fault and its location accurately by utilizing ISFHA-[Improved Sheep Flock Heredity Algorithm]. It is necessary to satisfy the customer in terms of power quality transmission. Power quality damages occur due to short circuit, natural disasters and other problems. The estimation of fault and location of the fault can be detected using the local and global searching techniques of ISFH algorithm. Since the ISFHA utilizes the optimization methodology the accuracy of fault detection and localization is high. Also, the effects of ISFHA parameters such as population, crossover and chromosome generation including fitness function to achieve the optimized result. The simulation results are compared with the existing results obtained using GA is compared to evaluating the performance of the ISFHA.
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