Probabilistic rotor angular stability considering renewable power generations - A survey

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


With the integration of large scale renewable power generations (e.g. Wind power generations) and new types of electric loads (e.g. Electrical vehicles), more and more stochastic factors are being introduced into power systems. Traditionally, power system rotor angle stability issues are treated under deterministic domain which means all the parameters involved are unchanged during the analysis. Although deterministic approaches have been used widely for decades, they might not be able to give a real appraisal on power system rotor angle stability due to the fact that the power system is stochastic in nature. In this paper, a comprehensive review on the topic of probabilistic power system rotor angle stability analysis which includes probabilistic small signal stability analysis (PSSSA) and probabilistic transient stability analysis (PTSA) is presented. The paper first reviews three main methodologies which are currently being used in PSSSA and a comparison among them is made. The development and main approaches of PTSA are given afterwards.
Original languageEnglish
Title of host publicationIET Conference Publications
PublisherInstitution of Engineering and Technology
Publication statusPublished - 1 Jan 2015
Externally publishedYes
EventInternational Conference on Renewable Power Generation, RPG 2015 - Beijing, China
Duration: 17 Oct 201518 Oct 2015


ConferenceInternational Conference on Renewable Power Generation, RPG 2015


  • Analytical approach
  • Numerical approach
  • Probabilistic stability
  • Renewable power generation
  • Rotor angular stability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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