Swarm intelligence approaches to optimal power flow problem with distributed generator failures in power networks

Qi Kang, Mengchu Zhou, Jing An, Qi Di Wu

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Distributed generation becomes more and more important in modern power systems. However, the increasing use of distributed generators causes the concerns on the increasing system risk due to their likely failure or uncontrollable power outputs based on such renewable energy sources as wind and the sun. This work for the first time formulates an optimal power flow problem by considering controllable and uncontrollable distributed generators in power networks. The problem for the cases of single and multiple generator failures is addressed as an example. The methods are presented to find its power output solution of controllable online generators via particle swarm optimization and group search optimizer for coping with the difficult scenarios in a power network. The proposed methods are tested on an IEEE 14-bus system, and several population initialization strategies are investigated and compared for the algorithms. The simulation results confirm their effectiveness for optimal power management and effective control of a power network.

Original languageEnglish (US)
Article number6248182
Pages (from-to)343-353
Number of pages11
JournalIEEE Transactions on Automation Science and Engineering
Volume10
Issue number2
DOIs
StatePublished - Jan 1 2013

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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