Meta-heurystyczne metody optymalizacyjne wykorzystywane do szybkiego pozbywania się obciążenia sieci

Translated title of the contribution: Under voltage load shedding scheme using meta-heuristic optimization methods

Renuga Verayiah, Azah Mohamed, Hussain Shareef, Izham Zainal Abidin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load shedding to avert voltage collapse in power networks. Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear systems. These methods include genetic algorithm, fuzzy logic control, particle swarm optimization, artificial neural network, ant colony optimization, big-bang big-crunch optimization, and many others. This study provides an overview of all the meta-heuristic methods implemented for under voltage load shedding in power systems.

Original languagePolish
Pages (from-to)162-168
Number of pages7
JournalPrzeglad Elektrotechniczny
Volume90
DOIs
Publication statusPublished - 01 Nov 2014

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Heuristic methods
Ant colony optimization
Electric potential
Robustness (control systems)
Particle swarm optimization (PSO)
Fuzzy logic
Large scale systems
Nonlinear systems
Genetic algorithms
Neural networks

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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title = "Meta-heurystyczne metody optymalizacyjne wykorzystywane do szybkiego pozbywania się obciążenia sieci",
abstract = "Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load shedding to avert voltage collapse in power networks. Meta-heuristic optimization approaches are currently the widely developed methods because of their robustness and flexibility in dealing with complex and non-linear systems. These methods include genetic algorithm, fuzzy logic control, particle swarm optimization, artificial neural network, ant colony optimization, big-bang big-crunch optimization, and many others. This study provides an overview of all the meta-heuristic methods implemented for under voltage load shedding in power systems.",
author = "Renuga Verayiah and Azah Mohamed and Hussain Shareef and {Zainal Abidin}, Izham",
year = "2014",
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Meta-heurystyczne metody optymalizacyjne wykorzystywane do szybkiego pozbywania się obciążenia sieci. / Verayiah, Renuga; Mohamed, Azah; Shareef, Hussain; Zainal Abidin, Izham.

In: Przeglad Elektrotechniczny, Vol. 90, 01.11.2014, p. 162-168.

Research output: Contribution to journalArticle

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AU - Zainal Abidin, Izham

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