Ensuring electromagnetic compatibility of pulse facilities with supply mains

Gerasimov, D. Yu.; Viktorenko, A. M.

doi:10.3103/s106837120708007x

Cited by 1 publication

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“…In addition, loads which provide interhar monics may be flicker sources [1]. To remedy the flicker phenomenon passive filters [4], active filters [5], and power electronic based devices [6] have been proposed. Regarding to accomplished studies about this issue, investigation of voltage fluctuation divided into two main groups: In the first group, researchers have focused on instantaneous voltage for calculating 1 The article is published in the original.…”

Section: Introductionmentioning

confidence: 99%

K-means clustering and correlation coefficient based methods for detection of flicker sources in non-radial power system

Dejamkhooy

Dastfan

Ahmadifard

2014

Russ. Electr. Engin.

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Nowadays electric power quality problems such as flicker (voltage fluctuation) are major concern of electric companies and industrial consumers. Identification of flicker sources is an important stage in cus tomers convincing and in flicker reduction process. For equal fluctuation frequency of flicker sources, detec tion of coupling points of these sources is not an easy task. In this paper, voltage envelope is extracted by Enhanced Phase Locked Loop (EPLL), which acts as a nonlinear adaptive filter, and then the amplitude of flicker tone is used as a flicker index. The power system with arbitrary flicker sources is assumed and simulated to generate a set of training data. Then two methods based on K means clustering algorithm and correlation coefficient are introduced to identify the location of flicker sources in a non radial power system. Using pro posed methods location of flicker sources with similar fluctuation frequency in non radial power system is determined. In a typical test system, several simulations have been conducted. The simulation results show the performance of the proposed method is very promising and flicker sources can be detected tolerably.

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Section: Introductionmentioning

confidence: 99%