Under voltage load shedding scheme using meta-heuristic optimization methods

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

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


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 languageEnglish
Pages (from-to)162-168
Number of pages7
JournalPrzeglad Elektrotechniczny
Publication statusPublished - Nov 1 2014
Externally publishedYes


  • Meta-heuristic optimization
  • Under voltage load shedding
  • Voltage collapse

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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