返回
Power system harmonic and interharmonic estimation using Vortex Search Algorithm
DOI:10.1016/j.epsr.2019.106187.png)
摘要
En 中文
In this paper, a vortex search algorithm (VSA) based method designed to estimate power system harmonics and interharmonics for highly time-varying cases is presented. Time-variation in the power system is due to the nonlinear and stochastic loads such as electric arc furnaces (EAF) and it is one of the major cause of the power quality problems. The proposed algorithm is tested on both synthetic signals and also field data obtained from transmission system substations supplying EAF plants. The results are compared with other search algorithm-based methods reported in the literature and shown that VSA algorithm exhibits better estimation performance and has less computational complexity. In addition, the VSA algorithm is also tested on real field data and the results are compared with those obtained by Kalman Filtering method, which is claimed to provide fastest results in the literature. It has been shown that the proposed method has better convergence results in noisy environment with less computational complexity.
Keyword:
Harmonic estimation
Harmonics
Interharmonics
Vortex search algorithm
Time-varying harmonics
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.1W
被引数:
2.2W
机构
引用论文
Frequency-Adaptive Stationary-Reference-Frame Grid Voltage Sequence Detector for Distributed Generation Systems用于分布式发电系统的频率自适应固定参考系电网电压序列检测器

