An uncertainty power flow algorithm based on interval and affine arithmetic

  • Tao Ding
  • , Hantao Cui
  • , Wei Gu
  • , Qiulan Wan

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

The large-scale integration of wind energy causes more and more uncertainties in the power injections and is also a big challenge for the dispatch scheduling. As the basis for the dispatch analysis, traditional power flow calculation is difficult in solving this kind of uncertain power flow problems. The interval and affine arithmetic theory is employed to solve the uncertainty problem. Instead of a single solution, the lower and upper boundaries of solution are obtained in a mathematical sense that the uncertain variables can be expressed as an interval form and the set of nonlinear equations is evaluated by Krawczyk-Moore method. Furthermore, a large overestimation of boundaries in the interval arithmetic yielded by correlation of variables can be improved by affine arithmetic which aims at shortening the gap between the upper and lower boundaries. The algorithm is tested on the standard IEEE 9-bus and IEEE 57-bus systems to validate the applicability.

Original languageEnglish
Pages (from-to)51-55+115
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume36
Issue number13
DOIs
StatePublished - 10 Jul 2012
Externally publishedYes

Keywords

  • Affine arithmetic
  • Interval analysis
  • Krawczyk-Moore method
  • Power flow analysis
  • Uncertain power flow

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