Solving optimal power flow problems subject to distributed generator failures via particle swarm intelligence

Qi Kang, Meng Chu Zhou, Chi Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Distributed generation (DG) of power has played an ever-increasing role in a smart power system, often termed as a smart grid. Their use can, however, cause more risk to the entire system since their power outputs are often affected by uncontrollable environments, e.g., weather. Power flow problems as a nonlinear optimization one become much more challenging when one or more distributed generators fail to achieve their desired performance levels. This work formulates a particle swarm optimization method to solve them by considering controllable and uncontrollable distributed generators in a smart grid. Such a method is often sensitive to the initialization conditions and weighting factors. This work presents several typical different initialization strategies and decides the most suitable weighting factors. They are comprehensively investigated via an IEEE 14-bus system subject to the failure of uncontrollable distributed generators.

Original languageEnglish (US)
Title of host publication2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012
Pages418-423
Number of pages6
StatePublished - Nov 27 2012
Event2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012 - Tokyo, Japan
Duration: Sep 18 2012Sep 21 2012

Publication series

Name2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012

Other

Other2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012
CountryJapan
CityTokyo
Period9/18/129/21/12

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All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Electrical and Electronic Engineering

Keywords

  • Optimal power flow
  • distributed generation
  • failure
  • particle swarm optimization
  • smart grid

Cite this

Kang, Q., Zhou, M. C., & Xu, C. (2012). Solving optimal power flow problems subject to distributed generator failures via particle swarm intelligence. In 2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012 (pp. 418-423). [6329616] (2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012).