Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan

Md. Aspan, Rosnita (1999) Application of an artificial neural network for predicting voltage harmonic / Rosnita Md. Aspan. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

The topic of harmonics has received increased attention over the pass several years due to the increased installation of harmonic-producing that is harmonic-sensitive equipment. It is one of the most common power quality problems. Power quality is an increasing concern for utilities and their commercial and industrial electrical power users. This thesis provides multi-layered network based methods that is back propagation technique for predicting voltage harmonics in eight-bus industrial power system when two types of filter, single tune filter and high pass filter, are added to the certain bus-bar. In this thesis, the data for voltage harmonics in each bus has been verified by means of the computer simulation using Software for Power System (SPS) by Micromatrix Research Corporation. The result obtained from this experiment showed that this method of predicting the voltage harmonics has the advantage, that it can determine the voltage harmonics with very low error.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Md. Aspan, Rosnita
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Hamzah, Noraliza
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Honours)
Keywords: Artificial neural network, Voltage harmonic
Date: 1999
URI: https://ir.uitm.edu.my/id/eprint/104648
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