Developing power system analysis application (fault analysis) by using maple / Mohd Zulfikre Mohd Rasib

Mohd Rasib, Mohd Zulfikre (2007) Developing power system analysis application (fault analysis) by using maple / Mohd Zulfikre Mohd Rasib. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

In power system, the phenomenon of fault is a name given to a situation called a malfunction in the system. Most faults are the results of short circuits which include lightnings and wind of storms. Faults are the major concern in power generation, transmission and distribution since they occur frequently without warning. The classification of the transmission line faults which are bus voltage, fault and line current are very useful in monitoring and make arrangement of relays, circuit breakers and other protection and control element. In this project, Maple programming is used to develop power system analysis application (fault analysis). The program which is develop for this project can be used to estimate the total fault current, bus voltage and line current when the input such as bus location and fault reactance are selected. The result is given for each type of fault such as balanced fault, single line to ground fault, line to line fault and double line to ground fault. Test results indicate that the Maple programming can develop power system analysis application which is accurate and significant.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohd Rasib, Mohd Zulfikre
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abdul Latip, Mohd Fuad
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Fault calculation, short circuits, power system
Date: 2007
URI: https://ir.uitm.edu.my/id/eprint/77999
Edit Item
Edit Item

Download

[thumbnail of 77999.pdf] Text
77999.pdf

Download (133kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

77999

Indexing

Statistic

Statistic details