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

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

doi:10.12915/pe.2014.11.43

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 journal › Article › peer-review

7 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.

Translated title of the contribution	Under voltage load shedding scheme using meta-heuristic optimization methods
Original language	Undefined/Unknown
Pages (from-to)	162-168
Number of pages	7
Journal	Przeglad Elektrotechniczny
Volume	90
DOIs	https://doi.org/10.12915/pe.2014.11.43
Publication status	Published - Nov 1 2014
Externally published	Yes

Keywords

Meta-heuristic optimization
Under voltage load shedding
Voltage collapse

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.12915/pe.2014.11.43

Cite this

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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.",

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AU - Verayiah, Renuga

AU - Mohamed, Azah

AU - Shareef, Hussain

AU - Abidin, Izham Zainal

PY - 2014/11/1

Y1 - 2014/11/1

N2 - 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.

AB - 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.

KW - Meta-heuristic optimization

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KW - Voltage collapse

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

Abstract

Keywords

ASJC Scopus subject areas

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