Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation

Mohammad Gholami, Ali Abbaspour, Moein Moeini-Aghtaie, Mahmud Fotuhi-Firuzabad, Matti Lehtonen*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)


With the rapid advancement of phasor measurement units (PMUs) technology, system operators in different level of power systems have access to new and abundant measurements. Taking into account these measurements in active distribution systems (ADNs), a new algorithm for short-circuit fault detection and identification based on state estimation (SE) is introduced in this paper. In this regard, as the first step, traditional SE process is revised to be compatible with fault conditions. Then, a fault location algorithm (FLA) based on the revised SE (RDSSE) is presented which attends to detect the location of fault after diagnosing faulted zone. For this purpose, current and voltage synchrophasors captured by PMUs as well as pre-fault SE results are used and according to calculated measurement residual indexes, the correct location of fault is diagnosed. The performance of RDSSE and SE based fault location method are tested by applying on an ADN, considering different fault scenarios in the network. The results proved that the proposed method is more accurate and reliable than traditional SE based methods in fault conditions and can precisely determine the real location of fault at lower SE execution times.

Original languageEnglish
Article number8818328
Pages (from-to)1396-1406
Number of pages11
JournalIEEE Transactions on Smart Grid
Issue number2
Publication statusPublished - 1 Mar 2020
MoE publication typeA1 Journal article-refereed


  • Active distribution networks
  • Phasor measurement units
  • Pseudo-measurements
  • Short-circuit fault location
  • State estimation

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