Probabilistic analysis of small-signal rotor angle/voltage stability of large-scale AC/DC power systems as affected by grid-connected offshore wind generation

Siqi Bu, W. Du, H. F. Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 Citations (Scopus)

Abstract

This paper investigates the probabilistic small-signal rotor angle/voltage stability of an AC/DC power system to which offshore wind generation is connected through a multi-terminal HVDC (MTDC) network. The paper applies an analytical method based on multi-point linearization to improve the accuracy of assessment of system probabilistic stability. It proposes to examine the probabilistic small-signal voltage stability of the AC/DC power system as the voltage stability is always a concern of HVDC network. The participation factor is then employed to further analyze this phenomenon and give effective remedial measures. In the paper, an example of 16-machine AC/DC power system to which three offshore wind farms is connected through aN MTDC network is presented. The proposed method in the paper is compared with the conventional Gram-Charlier expansion-based method and the nonlinear Monte Carlo simulation.
Original languageEnglish
Pages (from-to)3712-3719
Number of pages8
JournalIEEE Transactions on Power Systems
Volume28
Issue number4
DOIs
Publication statusPublished - 28 Jun 2013
Externally publishedYes

Keywords

  • Gram-Charlier expansion
  • Monte Carlo simulation
  • Multi-point linearization
  • Participation factor
  • Power system probabilistic small-signal rotor angle/voltage stability
  • Probabilistic density function (PDF)
  • Wind power generation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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