Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood

Wan Mahmood, Wan Nur Naimah (2019) Economic dispatch in multi-area using particle swarm optimization (PSO) / Wan Nur Naimah Wan Mahmood. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Multi-area economic dispatch (MAED) is very important issue in power system operation. This study presents a Particle Swarm Optimization (PSO) approach to address the MAED problems. This approach will consider the flow limits between the areas and generation limits in order to minimize the generation cost. The proposed method is tested with three different case studies. The results show that PSO is capable to solve ED and MAED problems. These case studies show that the PSO gives better result compared to Genetic Algorithm (GA) and Lagrange multiplier in term of minimization the total cost. The results also show that when the flow limit is increased, the generation cost will be cheaper.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Wan Mahmood, Wan Nur Naimah
2015283758
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 Engineering
Keywords: Multi-area economic dispatch, minimize generation cost, cheaper
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/67253
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