Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim

Ibrahim, Nurul Ulya (2016) Application of Shuffled Frog Leaping Algorithm (SFLA) to long term generation expansion planning / Nurul Ulya Ibrahim. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This thesis presents a solution to generation expansion planning problem based on Shuffled Frog Leaping Algorithm (SFLA). The proposed SFLA in this study is developed using Matlab programming. This method is tested for 15 existing power plant and five generation candidates within 10 years of planning. The simulation results obtained using the proposed algorithm show that the minimum cost can be obtained for types of candidate.

Metadata

Item Type:	Thesis (Degree)
Creators:	Creators Email / ID Num. Ibrahim, Nurul Ulya 2013248178
Contributors:	Contribution Name Email / ID Num. Thesis advisor Sheikh Rahimullah, Bibi Norasiqin UNSPECIFIED
Subjects:	T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power. Powerplants. Central stations 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 Engineering (Hons) Electrical
Keywords:	Shuffled frog leaping algorithm (SFLA), generation expansion planning (GEP), fuzzy logic
Date:	2016
URI:	https://ir.uitm.edu.my/id/eprint/67308