Voltage stability analysis based on probabilistic power flow and maximum entropy

J. F. Zhang, C. T. Tse, W. Wang, C. Y. Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

29 Citations (Scopus)

Abstract

Methods of determination of voltage stability margin index had been well established. This study adopts a new method to determine the probabilistic distribution of margin index taking into account the random variations of bus loads. First, the probabilistic technique and the Jacobian method are combined to determine the probabilistic characteristics of stability margins and nodal voltages at the maximum load points. Then, according to these probabilistic characteristics, maximum entropy method is adopted to determine the probabilistic distribution of stability margin. Last, the proposed method is investigated on two test systems with random active and reactive loads. Monte Carlo simulations are used as a reference solution to evaluate the accuracy of the proposed method.

Original languageEnglish
Article numberIGTDAW000004000004000530000001
Pages (from-to)530-537
Number of pages8
JournalIET Generation, Transmission and Distribution
Volume4
Issue number4
DOIs
Publication statusPublished - Apr 2010

ASJC Scopus subject areas

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

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