From Patents to Progress: Genetic Algorithms in Harmonic Distortion Monitoring Technology

Pedro Gomes da Cruz Filho, Danielle Devequi Gomes Nunes, Hayna Malta Santos, Alex Álisson Bandeira Santos and Bruna Aparecida Souza Machado ()
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Pedro Gomes da Cruz Filho: Postgraduate Program in Computational Modeling and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil
Danielle Devequi Gomes Nunes: SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CIMATEC University Center, Salvador 41650-010, Brazil
Hayna Malta Santos: SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CIMATEC University Center, Salvador 41650-010, Brazil
Alex Álisson Bandeira Santos: Postgraduate Program in Computational Modeling and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil
Bruna Aparecida Souza Machado: Postgraduate Program in Computational Modeling and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil

Energies, 2023, vol. 16, issue 24, 1-21

Abstract: Sustainable energy sources, such as wind energy, are pivotal in driving our energy landscape towards a more environmentally conscious and responsible future. Wind power, as an exemplar of clean and renewable energy solutions, adeptly harnesses the kinetic energy of the wind to generate electricity. While wind energy significantly contributes to our sustainability objectives, the quality of the energy it produces is equally essential. A critical challenge in this context is harmonic distortion, which manifests as unwanted fluctuations in the frequency and amplitude of electrical waveforms. Effectively mitigating these distortions within wind energy systems is vital to maintaining the stability and reliability of power grids, guaranteeing that the electricity supplied adheres to high-quality standards. The objective of this study was to conduct a technological prospection focused on the contemporary scenario of genetic algorithm applications in addressing harmonic variations. This investigation unearthed a total of 634 relevant documents. The findings suggest that the utilization of genetic algorithms for enhancing energy quality is a relatively recent but promising field. The State Grid Corp of China emerged as the principal contributor, with ten noteworthy inventors identified. Remarkably, both China and the United States lead in patent filings. The insights gleaned from these documents underscore the potential for further exploration and the synergistic application of these techniques. These collaborative efforts have the potential to yield processes and devices that offer significant economic and environmental advantages for the energy industry, solidifying our commitment to a cleaner and more sustainable energy future.

Keywords: genetic algorithm; harmonic distortions; wind energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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