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Long term dynamic behavior analysis for power system including wind farms

  • Yongji Chang*
  • , Jilai Yu
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

The increasing capacities of wind power bring a great influence on power system stability because wind power can produce in stochastic behaviors due to special fluctuant characteristics of natural wind. There is lack of research on long-term dynamic behavior simulation for power system including wind farms. This paper adopts mathematic dynamic model of induction wind generating set, and makes use of flexible self-adjustment method to analyze long term dynamic behavior for power system including wind farms under different wind condition and operating mode. Numerical example shows that flexible self-adjustment method is suitable for long term dynamic simulation of power system including wind farms, and also shows that random variations of wind power bring extra fluctuation to power system voltage, frequency and tie-line power.

Original languageEnglish
Title of host publication2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Proceedings
DOIs
StatePublished - 2009
Event2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Wuhan, China
Duration: 27 Mar 200931 Mar 2009

Publication series

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

Conference

Conference2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009
Country/TerritoryChina
CityWuhan
Period27/03/0931/03/09

Keywords

  • Long term dynamic behavior
  • Power system
  • Wind farms

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