Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation

Nik Nuruljannah Mansor, Sharifah Azwa Shaaya, Ismail Musirin, Naeem S. Hannoon, Zellagui Mohamed, Mohamad Khairuzzaman Mohamad Zamani

Research output: Contribution to journalArticle

Abstract

This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location.

Original languageEnglish
Article number68
Pages (from-to)387-393
Number of pages7
JournalInternational Journal of Advanced Trends in Computer Science and Engineering
Volume8
Issue number1.3 S1
DOIs
Publication statusPublished - 01 Jan 2019

Fingerprint

Distributed power generation
Evolutionary algorithms
Voltage control

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

Cite this

Mansor, Nik Nuruljannah ; Shaaya, Sharifah Azwa ; Musirin, Ismail ; Hannoon, Naeem S. ; Mohamed, Zellagui ; Zamani, Mohamad Khairuzzaman Mohamad. / Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation. In: International Journal of Advanced Trends in Computer Science and Engineering. 2019 ; Vol. 8, No. 1.3 S1. pp. 387-393.
@article{b1b793bc1d5c46fdb30802604dff82a6,
title = "Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation",
abstract = "This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location.",
author = "Mansor, {Nik Nuruljannah} and Shaaya, {Sharifah Azwa} and Ismail Musirin and Hannoon, {Naeem S.} and Zellagui Mohamed and Zamani, {Mohamad Khairuzzaman Mohamad}",
year = "2019",
month = "1",
day = "1",
doi = "10.30534/ijatcse/2019/6881.32019",
language = "English",
volume = "8",
pages = "387--393",
journal = "International Journal of Advanced Trends in Computer Science and Engineering",
issn = "2278-3091",
publisher = "World Academy of Research in Science and Engineering",
number = "1.3 S1",

}

Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation. / Mansor, Nik Nuruljannah; Shaaya, Sharifah Azwa; Musirin, Ismail; Hannoon, Naeem S.; Mohamed, Zellagui; Zamani, Mohamad Khairuzzaman Mohamad.

In: International Journal of Advanced Trends in Computer Science and Engineering, Vol. 8, No. 1.3 S1, 68, 01.01.2019, p. 387-393.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Embedded flower pollination evolutionary programming based technique for voltage stability enhancement with distributed generation installation

AU - Mansor, Nik Nuruljannah

AU - Shaaya, Sharifah Azwa

AU - Musirin, Ismail

AU - Hannoon, Naeem S.

AU - Mohamed, Zellagui

AU - Zamani, Mohamad Khairuzzaman Mohamad

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location.

AB - This paper presents the embedded flower pollination evolutionary programming-based technique for voltage stability enhancement with distributed generation installation. In this study, a new technique is developed which combines the element of flower pollination into the general evolutionary programming algorithm. The aim is to enhance the voltage stability in power system with the presence of distributed generation. The proposed technique was validated using the IEEE 33-Bus Distribution System. Results obtained from the study revealed that the proposed technique is better than EP in terms of optimizing the sizing of DG and location.

UR - http://www.scopus.com/inward/record.url?scp=85074083643&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85074083643&partnerID=8YFLogxK

U2 - 10.30534/ijatcse/2019/6881.32019

DO - 10.30534/ijatcse/2019/6881.32019

M3 - Article

AN - SCOPUS:85074083643

VL - 8

SP - 387

EP - 393

JO - International Journal of Advanced Trends in Computer Science and Engineering

JF - International Journal of Advanced Trends in Computer Science and Engineering

SN - 2278-3091

IS - 1.3 S1

M1 - 68

ER -