Multipurpose balancing optimization method for power generator set

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The requirement of field dynamic balancing is analyzed, and the maximum, uniformity and square summation of residual vibration are selected to be the optimization sub-objects for generator set balancing. In order to coordinate the above three items, fuzzy mathematics theory is employed to build the multipurpose optimization function. The principle of optimization of balancing weight with particle swarm algorithm is studied. Furthermore it is applied to implement the weight optimization of power generator set. The effectiveness of the proposed method, and its' advantageous of smaller computation volume and faster convergence speed comparing with genetic algorithm optimization, are verified by a practical balancing application of generator set.

Original languageEnglish
Title of host publication2010 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2010 - Proceedings
DOIs
StatePublished - 2010
EventAsia-Pacific Power and Energy Engineering Conference, APPEEC 2010 - Chengdu, China
Duration: 28 Mar 201031 Mar 2010

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

ConferenceAsia-Pacific Power and Energy Engineering Conference, APPEEC 2010
Country/TerritoryChina
CityChengdu
Period28/03/1031/03/10

Keywords

  • Holospectrum based balancing method for power generator set
  • Particle swarm optimization
  • Rotating machine

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