An intelligent load shedding scheme using neural networks and neuro-fuzzy

Ahmed M A Haidar, Azah Mohamed, Majid Al-Dabbagh, Aini Hussain, Mohammad Masoum

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.

Original languageEnglish
Pages (from-to)473-479
Number of pages7
JournalInternational Journal of Neural Systems
Volume19
Issue number6
DOIs
Publication statusPublished - Dec 2009

Fingerprint

Electric load shedding
Electric load loss
Outages
Neural networks

Keywords

  • Feature extraction
  • Load shedding
  • Neural networks
  • Neuro-fuzzy

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

An intelligent load shedding scheme using neural networks and neuro-fuzzy. / Haidar, Ahmed M A; Mohamed, Azah; Al-Dabbagh, Majid; Hussain, Aini; Masoum, Mohammad.

In: International Journal of Neural Systems, Vol. 19, No. 6, 12.2009, p. 473-479.

Research output: Contribution to journalArticle

Haidar, Ahmed M A ; Mohamed, Azah ; Al-Dabbagh, Majid ; Hussain, Aini ; Masoum, Mohammad. / An intelligent load shedding scheme using neural networks and neuro-fuzzy. In: International Journal of Neural Systems. 2009 ; Vol. 19, No. 6. pp. 473-479.
@article{0c65764e45524c66917baecbb40d9c6b,
title = "An intelligent load shedding scheme using neural networks and neuro-fuzzy",
abstract = "Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.",
keywords = "Feature extraction, Load shedding, Neural networks, Neuro-fuzzy",
author = "Haidar, {Ahmed M A} and Azah Mohamed and Majid Al-Dabbagh and Aini Hussain and Mohammad Masoum",
year = "2009",
month = "12",
doi = "10.1142/S0129065709002178",
language = "English",
volume = "19",
pages = "473--479",
journal = "International Journal of Neural Systems",
issn = "0129-0657",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "6",

}

TY - JOUR

T1 - An intelligent load shedding scheme using neural networks and neuro-fuzzy

AU - Haidar, Ahmed M A

AU - Mohamed, Azah

AU - Al-Dabbagh, Majid

AU - Hussain, Aini

AU - Masoum, Mohammad

PY - 2009/12

Y1 - 2009/12

N2 - Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.

AB - Load shedding is some of the essential requirement for maintaining security of modern power systems, particularly in competitive energy markets. This paper proposes an intelligent scheme for fast and accurate load shedding using neural networks for predicting the possible loss of load at the early stage and neuro-fuzzy for determining the amount of load shed in order to avoid a cascading outage. A large scale electrical power system has been considered to validate the performance of the proposed technique in determining the amount of load shed. The proposed techniques can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.

KW - Feature extraction

KW - Load shedding

KW - Neural networks

KW - Neuro-fuzzy

UR - http://www.scopus.com/inward/record.url?scp=73949121947&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=73949121947&partnerID=8YFLogxK

U2 - 10.1142/S0129065709002178

DO - 10.1142/S0129065709002178

M3 - Article

C2 - 20039470

AN - SCOPUS:73949121947

VL - 19

SP - 473

EP - 479

JO - International Journal of Neural Systems

JF - International Journal of Neural Systems

SN - 0129-0657

IS - 6

ER -