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

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

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1059132

DOI=10.3389/fenrg.2022.1059132

ISSN=2296-598X

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