A flexible framework of line power flow estimation for high-order contingency analysis

Guo Chen, Yuanyu Dai, Zhao Xu, Zhaoyang Dong, Yusheng Xue

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


Traditionally, power system contingency analysis involves massive power flow calculations, which are usually based on linear approximation methods, such as dc load flow model or distribution factors based method, for fast speed but with compromised accuracy. Particularly, the accuracy of power flow results can deteriorate with the increase of k given N-k contingency analysis. Consequently, the obtained results may provide misleading information by under estimating the impact of some severe contingencies. In order to effectively implement online N-k contingency analysis, we propose a flexible framework of power flow estimation, where generalized line outage distribution factors (GLODFs) and ac power flow model are integrated together to formulate a two-stage scheme. At first stage, the Monte Carlo sampling technique is used to generate tables of computing errors for the hybrid ac-(GLODFs/ac) method. The achieved error information can then provide useful references in the second stage to select either ac-GLODFs based method or ac power flow model for N-k contingency analysis. Theoretically, the framework can provide significantly enhanced accuracy as well as satisfied efficiency. Finally, comprehensive case studies with the IEEE-118 bus system are given to validate the proposed framework.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalInternational Journal of Electrical Power and Energy Systems
Publication statusPublished - 1 Jan 2015


  • Generalized line outage distribution factors (GLODFs)
  • N-k contingency analysis
  • Power flow estimation
  • Power system computation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'A flexible framework of line power flow estimation for high-order contingency analysis'. Together they form a unique fingerprint.

Cite this