A Genetic Algorithm-based Approach for Three-phase Fault Evaluation in a Distribution Network

Chikomborero Shambare, Yanxia Sun, Odun Ayo Imoru

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Standard IEC 60909 provides all the basic information that is used in the evaluation of three-phase short circuit faults. However, it uses numerous estimations in its fault evaluation procedures. It estimates voltage factors, resistance to reactance ratios (R/X), resistance to impedance ratios (R/Z) and other scaling factors. These estimates do not cater for every nominal voltage. Users often have to approximate these values. In this paper, adjustments were made to the genetic algorithm (GA) with regards to gene replacements and arrangement of scores and expectation. During fault computation, the GA was used to stochastically determine R/X and R/Z ratios with regards to the parameters of the power system. The GA was tested on a nominal voltage that is properly catered for by Standard IEC. The GA results and the IEC values were within an approximate range. This implies that the developed GA can be further used to determine these ratios for nominal voltages that are not sufficiently accounted for by Standard IEC. This leads to obtaining precise fault values in all instances.

Original languageEnglish
Pages (from-to)418-433
Number of pages16
JournalInternational Journal of Computing
Issue number3
Publication statusPublished - 2020


  • Autonomy
  • Evolutionary algorithms
  • Genetic Algorithm
  • IEC 60909
  • Robust
  • Short-circuit fault
  • Stochastic

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications


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