Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED): article / Haryanti Kamazahruman

Kamazahruman, Haryanti (2010) Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED): article / Haryanti Kamazahruman. pp. 1-6.

Abstract

This paper presents application of particle swarm optimization (PSO) technique for assessment of Dynamic Economic Dispatch (DED).Using this method, the best minimum of total generation cost can be obtained. DED is used to determine the optimal schedule of on-line generating output so as to meet the load demand at minimum operating cost under various systems and operating cost over the entire dispatch periods. PSO can solve the problems quickly with high quality solutions and stable convergence characteristics, whereas it is easily implemented evolutionary computation techniques. The DED based PSO techniques is a tested on a 26-bus system containing six generator bus, 20 load bus, and 46 transmission lines.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Kamazahruman, Haryanti
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Data transmission systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Page Range: pp. 1-6
Related URLs:
Keywords: Particle Swarm Optimization (PSO), Dynamic Economic Dispatch (DED
Date: 2010
URI: https://ir.uitm.edu.my/id/eprint/37829
Edit Item
Edit Item

Download

[thumbnail of 37829.pdf] Text
37829.pdf

Download (380kB)

ID Number

37829

Indexing

Statistic

Statistic details