Computation of boundary of power flow feasible region with hybrid method

Yixin Yu*, Peng Li, Hongjie Jia, Stephen T. Lee, Pei Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper presents a new hybrid method to compute boundaries of power flow feasible region, which is pertinent to static voltage stability analysis. The hybrid method is derived from 'predictor-corrector' framework. It converts the problem into an optimization problem, whose objective is to determine the minimum distance from an external point to the boundary of the feasible region. The proposed hybrid method can reduce the computation dimension in comparison with using 'predictor-corrector' method. In addition to visualizing boundaries in two dimension space, the method can be utilized as a powerful tool to compute the closest boundary point associated with a specific operating point. It also can be used to compute the operating limit of facilities. In order to handle concave topology on the boundary, a modification of hybrid method is also proposed. Numerical simulations on two systems illustrate that the hybrid method is reliable and effective in terms of computing the boundaries of power flow feasible region.

Original languageEnglish
Title of host publication2004 IEEE PES Power Systems Conference and Exposition
Pages137-143
Number of pages7
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE PES Power Systems Conference and Exposition - New York, NY, United States
Duration: 10 Oct 200413 Oct 2004

Publication series

Name2004 IEEE PES Power Systems Conference and Exposition
Volume1

Conference

Conference2004 IEEE PES Power Systems Conference and Exposition
Country/TerritoryUnited States
CityNew York, NY
Period10/10/0413/10/04

Keywords

  • Closest boundary point
  • Optimization
  • Power flow feasible region
  • Predictor-Corrector
  • Saddle Node Bifurcation
  • Visualization
  • Voltage stability

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