Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan

Adnan, Mohd Nazmi (2009) Multi population traditional Evolutionary Programming approach for Distributed Generation / Mohd Nazmi Adnan. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This thesis presents, the study involves in the development of multi population Evolutionary Programming for Distributed Generation (DG) installation in distribution systems. While installing the DG into the system, improve on the voltage profile and reduction of power loss based on the optimal location and sizing of DG. Generally, DG is defined as a small-scale electricity generation which the electricity is generated in large power stations to achieve cost reduction.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Adnan, Mohd Nazmi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Musirin, Ismail (Assoc. Prof. Dr.)
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor in Electrical Engineering (Hons.)
Keywords: Generation, Population, Programming
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/86943
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