International Journal of Electrical and Computer Engineering
Vol 8, No 6: December 2018

A Diagnostic Analytics of Harmonic Source Signature Recognition by Using Periodogram

M. H. Jopri (Universiti Teknikal Malaysia Melaka)
A. R. Abdullah (Universiti Teknikal Malaysia Melaka)
T. Sutikno (Universitas Ahmad Dahlan (UAD))
M. Manap (Universiti Teknikal Malaysia Melaka)
M. R. Ab Ghani (Universiti Teknikal Malaysia Melaka)
A. S. Hussin (Universiti Teknikal Malaysia Melaka)



Article Info

Publish Date
01 Dec 2018

Abstract

This paper presents a diagnostic analytics of harmonic source signature recognition of rectifier and inverter-based load in the distribution system with single-point measurement at the point of common coupling by utilizing Periodogram. Signature recognition pattern is used to distinguish the harmonic sources accurately by obtaining the distribution of harmonic and interharmonic components and the harmonic contribution changes.  This is achieved by using the significant signature recognition of harmonic producing load obtained from analysing the harmonic contribution changes. Based on voltage and current signature analysis, the distribution of harmonic components can be divided into three zones. To distinguish between the harmonic producing loads, the harmonic components are observed at these zones to get the signature recognition pattern. The result demonstrate that periodogram technique accurately diagnose and distinguish the type of harmonic sources in the distribution system.

Copyrights © 2018






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...