Frontiers in Energy Research (Nov 2022)

Parameter estimation of harmonics arising in electrical instruments of smart grids using cuckoo search heuristics

  • Naveed Ahmed Malik,
  • Ching-Lung Chang,
  • Naveed Ishtiaq Chaudhary,
  • Zeshan Aslam Khan,
  • Muhammad Asif Zahoor Raja,
  • Adiqa Kausar Kiani,
  • Ahmed H. Milyani,
  • Abdullah Ahmed Azhari

DOI
https://doi.org/10.3389/fenrg.2022.1059132
Journal volume & issue
Vol. 10

Abstract

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The accurate estimation of power signal parameters allows smart grids to optimize power delivery efficiency, improve equipment utilization, and control power flow among generation nodes and loads. However, practically it becomes a challenging task because of the presence of harmonic distortions. In this study, a parameter estimation of the power system harmonics is investigated through swarm intelligence–based optimization strength of the cuckoo search algorithm. The performance evaluation is conducted in detail for different generations and particle sizes and for different signal-to-noise ratios. The simulation results reveal that the cuckoo search optimization heuristic accurately estimates the amplitude and phase parameters of the power system harmonics and is robust against different signal-to-noise ratios.

Keywords