Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation

Deyou Yang, Guowei Cai, Ka Wing Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


The system identification theory based on SSI (Stochastic Subspace Identification) algorithm is researched, a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed, by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electromechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency.
Original languageEnglish
Pages (from-to)54-60
Number of pages7
JournalDianli Zidonghua Shebei/Electric Power Automation Equipment
Issue number2
Publication statusPublished - 1 Feb 2014


  • Controllability
  • Dynamic response
  • Electric power systems
  • Electro-mechanical oscillation
  • Participation factor
  • Stability
  • Stochastic subspace

ASJC Scopus subject areas

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

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