| 英文摘要 |
Harmonics estimation plays a crucial part in reducing or eliminating harmonic aberrations in power systems. The ability to perform harmonic elimination needs effective estimation of exact harmonics that is present in a system. Metaheuristic methods for harmonics estimation are creative ways to handle complicated signal analysis. In order to identify harmonic components in electrical signals, these techniques make use of the power of optimization algorithms. Researchers want to improve harmonics estimation’s accuracy and effectiveness by utilizing metaheuristic methods, leading to cleaner and more dependable power systems. Offering potential methods for the reduction of harmonic distortions in contemporary electrical systems, this cutting-edge field is still developing. The essential component of feature extraction, which significantly improves the harmonics mitigation efficacy approach, is important to the optimization process. This inquiry includes a thorough analysis of several relevant literature sources as well as an overall evaluation. It employs a variety of methodologies to identify fundamental frequencies and harmonics in the time, space, and frequency domain. Additionally, during the course of this investigation, the integration of signal processing with Meta-Heuristic approaches is examined and evaluated. This investigation provides a thorough overview of modern methods for fundamental frequency and harmonic extraction, together with a thorough analysis and characterization of their benefits and curbs. |
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