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A modified ABC algorithm approach for power system harmonic estimation problems

机译:改进的ABC算法解决电力系统谐波估计问题

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摘要

Electrical harmonic is an important issue on power quality of electrical systems. Therefore, estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a power system harmonic estimation solution based on modified artificial bee colony (MABC) algorithm have been proposed. The proposed method in this study is different from other hybrid techniques previously reported ones since estimation processes are mainly focused on decreasing computational complexity and time. In order to provide more accurate and comprehensive estimation results for the proposed method, two different experiments are investigated. Obtained results by the performed experiments showed that the proposed harmonic estimator provides several advantages such as offering very low computational time, more accurate estimation of amplitude and phase values for all conditions and low complexity. (C) 2017 Elsevier B.V. All rights reserved.
机译:电气谐波是电气系统电能质量的重要问题。因此,电力谐波的估计对于设计要在电力系统中使用的滤波器以减少谐波及其对电力系统的影响是必不可少的。本文提出了一种基于改进的人工蜂群算法的电力系统谐波估计解决方案。本研究中提出的方法与先前报道的其他混合技术不同,因为估计过程主要集中在降低计算复杂性和时间上。为了为所提出的方法提供更准确和全面的估计结果,对两个不同的实验进行了研究。通过进行的实验获得的结果表明,所提出的谐波估计器具有许多优点,例如提供了非常低的计算时间,在所有条件下都可以更准确地估计幅度和相位值以及低复杂度。 (C)2017 Elsevier B.V.保留所有权利。

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