Inter- and sub-harmonics estimation: Treatise on raptor-inspired Harris Hawks collective wisdom

Naveed Ahmed Malik (), Ching-Lung Chang (), Naveed Ishtiaq Chaudhary, Muhammad Asif Zahoor Raja () and Chi-Min Shu ()
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Naveed Ahmed Malik: Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123, University Road, Section 3, Douliu, Yunlin 64002, Taiwan, R. O. C
Ching-Lung Chang: Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R. O. C
Naveed Ishtiaq Chaudhary: Future Technology Research Center, National Yunlin University of Science and Technology, 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R. O. C
Muhammad Asif Zahoor Raja: Future Technology Research Center, National Yunlin University of Science and Technology, 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R. O. C
Chi-Min Shu: Department of Safety, Health and Environmental Engineering, National Yunlin University of Science and Technology, 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R. O. C

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 12, 1-31

Abstract: In contemporary power systems, harmonics as undesired electrical phenomena, have drawn considerable attention of the research community investigating in design and development of optimal electrical networks. Harmonics affect the power electronics devices with a number of negative impacts, including higher power losses, worse power quality, and interference with other delicate grid connected equipment. An objective function of inter- and sub-harmonics is constructed for joint estimation of amplitude and phase with known frequency. Accurate estimation of the harmonics model is carried out with stupendous knacks of raptor-inspired Harris Hawks optimization algorithm (HHOA), a revolutionary population-based, nature-motivated optimization approach. The primary sources of inspiration for HHOA are Harris Hawks cooperative demeanor and surprise pounce chasing style in nature. The HHOA’s performance is assessed for harmonics parameter estimation with several noise conditions, differing particle sizes and iterations. The proposed HHOA-based estimation technique provides accurate, convergent and robust performance for harmonics estimation. The reliable level of fitness is achieved consistently in the range of 10−3 to 10−10, an evidence of valuable precision, stability and robustness of the proposed algorithm.

Keywords: Power quality; parameter estimation; harmonics analysis; Harris Hawks; swarm intelligence; optimization (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124501584

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