A novel hybrid fuzzy-Jaya optimization algorithm for efficient ORPD solution

Mona G. Gafar, Ragab A. El-Sehiemy, Hany M. Hasanien

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This paper is concerned with the application of hybrid fuzzy-JAYA optimization algorithm to find the solution of non-linear optimal reactive power dispatch (ORPD) problem in power systems. The proposed hybrid optimization algorithm combines the merits of fuzzy principle and the Jaya optimizer. Fuzzification of the ORPD variables is employed by pseudo goal strategy. Two technical objectives are minimized individually and simultaneously to enhance the overall power systems performance. These objectives are transmission active power losses and voltage deviation at load buses. The ORPD objectives are optimized considering both inequality and equality constraints that reflect the operation needs. The hybrid fuzzy-JAYA is established as efficient optimization method that is achieving the global optimal solution. The effectiveness of the proposed hybrid algorithm for solving the ORPD problem is proven by using three standard IEEE test networks. An assessment of the proposed hybrid algorithm is carried out compared with other optimization algorithms those reported in the literature. The simulation results assure that the fuzzy Jaya hybrid algorithm leads to significant power system performance enhancement for different scale power systems.

Original languageEnglish
Article number8911388
Pages (from-to)182078-182088
Number of pages11
JournalIEEE Access
Volume7
DOIs
StatePublished - 2019

Keywords

  • Enhancement of load buses voltage profile
  • Hybrid strategy
  • INDEX TERMS Fuzzy logic
  • Jaya optimization algorithm
  • Minimization of transmission power losses
  • ORPD
  • Pseudo goal strategy

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