A fast method for wind-integrated power systems static security analysis in the planning stage

Yuan Zhu, Hanshen Li, Jinglu Hu

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

Abstract

This paper proposes a probabilistic load flow method for wind-integrated power systems static security analysis in the system planning stage. By using the sensitivity matrix, branch outages are simulated through fictitious power injections at the corresponding nodes. So the method introduced in this paper could deal with branch outages, uncertainties of wind farms power injections in a unified procedure. A fast method combined Cumulants and Gram-Charlier Series expansion is applied to obtain the probabilistic distribution of nodal voltages and line power flows instead of the time-consuming convolution calculation. The static security will be analyzed afterwards using the probabilistic distribution. The simulation results using the IEEE 14-bus system are given to illustrate the feasibility and effectiveness of the proposed method.

Original languageEnglish
Title of host publication2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2036-2041
Number of pages6
ISBN (Electronic)9781509051571
DOIs
Publication statusPublished - 2017 Jul 25
Event3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017 - Kaohsiung, Taiwan, Province of China
Duration: 2017 Jun 32017 Jun 7

Publication series

Name2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017

Other

Other3rd IEEE International Future Energy Electronics Conference and ECCE Asia, IFEEC - ECCE Asia 2017
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period17/6/317/6/7

Keywords

  • Branch outage
  • Probabilistic load flow
  • Sensitivity analysis
  • Static security
  • Wind farm

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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