@inproceedings{0930810fbde44be7871d92fb8dacb9cb,
title = "Optimal estimation of harmonics in power system using intelligent techniques",
abstract = "This paper presents a new algorithm for harmonic estimation in power systems. It utilizes separable least squares (SLS) technique to estimate the magnitude and phase angle of the harmonics by analyzing the waveform. As well as hybrid techniques have been utilized in this paper to estimate harmonics, real coded genetic algorithm (RCGA) and particle swarm optimization (PSO) utilized to estimate the phase of the harmonics, alongside a least square (LS) method used to estimate harmonics amplitude. The three techniques are analyzed and the results are compared in terms of percentage of error and processing time for finding suitable efficient technique to estimate harmonics.",
keywords = "Harmonics estimation, Least square method, Particle swarm optimization, Real coded genetic algorithm, Separable least square",
author = "Zaro, \{Fouad R.\} and \{El Ferik\}, Sami and Abido, \{Mohammad A.\}",
year = "2013",
doi = "10.2316/P.2013.794-046",
language = "English",
isbn = "9780889869431",
series = "Proceedings of the IASTED International Conference on Modelling, Identification and Control",
pages = "507--513",
booktitle = "IASTED Multiconferences - Proceedings of the IASTED International Conference on Modelling, Identification and Control, MIC 2013",
}