Optymalizacja rozmieszczenia i mocy generatorów energii w systemie rozproszonym z wykorzystaniem algorytmu GSA - zagadnienia całkowitych strat i THD napie{ogonek}cia

Translated title of the contribution: Optimal sizing and placement of distributed generation in distribution system considering losses and THDV using gravitational search algorithm

Aida Fazliana Abdul Kadir, Azah Mohamed, Hussain Shareef, Mohd Z. Bin Che Wanik, Ahmad Asrul Ibrahim

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

Original languagePolish
Pages (from-to)132-136
Number of pages5
JournalPrzeglad Elektrotechniczny
Volume89
Issue number4
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Distributed power generation
Evolutionary algorithms
Particle swarm optimization (PSO)
Harmonic distortion
Electric potential

Keywords

  • Distributed generation
  • Gravitational search algorithm
  • Harmonic distortion
  • Optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Optymalizacja rozmieszczenia i mocy generatorów energii w systemie rozproszonym z wykorzystaniem algorytmu GSA - zagadnienia całkowitych strat i THD napie{ogonek}cia. / Abdul Kadir, Aida Fazliana; Mohamed, Azah; Shareef, Hussain; Wanik, Mohd Z. Bin Che; Ibrahim, Ahmad Asrul.

In: Przeglad Elektrotechniczny, Vol. 89, No. 4, 2013, p. 132-136.

Research output: Contribution to journalArticle

@article{30776ae275e14a08b55e21e6c01c4778,
title = "Optymalizacja rozmieszczenia i mocy generator{\'o}w energii w systemie rozproszonym z wykorzystaniem algorytmu GSA - zagadnienia całkowitych strat i THD napie{ogonek}cia",
abstract = "This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.",
keywords = "Distributed generation, Gravitational search algorithm, Harmonic distortion, Optimization",
author = "{Abdul Kadir}, {Aida Fazliana} and Azah Mohamed and Hussain Shareef and Wanik, {Mohd Z. Bin Che} and Ibrahim, {Ahmad Asrul}",
year = "2013",
language = "Polish",
volume = "89",
pages = "132--136",
journal = "Przeglad Elektrotechniczny",
issn = "0033-2097",
publisher = "Wydawnictwo SIGMA - N O T Sp. z o.o.",
number = "4",

}

TY - JOUR

T1 - Optymalizacja rozmieszczenia i mocy generatorów energii w systemie rozproszonym z wykorzystaniem algorytmu GSA - zagadnienia całkowitych strat i THD napie{ogonek}cia

AU - Abdul Kadir, Aida Fazliana

AU - Mohamed, Azah

AU - Shareef, Hussain

AU - Wanik, Mohd Z. Bin Che

AU - Ibrahim, Ahmad Asrul

PY - 2013

Y1 - 2013

N2 - This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

AB - This paper presents a new method for determining optimal sizing and suitable placement for distributed generation (DG) in distribution system. A multi-objective function is created to minimise the total losses and average voltage total harmonic distortion (THDv) of the distribution system. The proposed method utilizes gravitational search algorithm (GSA)in the optimization process and its performance is compared with other optimization techniques such as particle swarm optimisation (PSO) and evolutionary programming (EP). The results show that the GSA performs better than PSO and EP by giving the best fitness value and convergence rate.

KW - Distributed generation

KW - Gravitational search algorithm

KW - Harmonic distortion

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=84875676838&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875676838&partnerID=8YFLogxK

M3 - Article

VL - 89

SP - 132

EP - 136

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

SN - 0033-2097

IS - 4

ER -