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Review of Fundamental Active Current Extraction Techniques for SAPF
Jan Baros1, Vojtech Sotola2, Petr Bilik1
1Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
Advanced digital signal processing enhances Shunt Active Power Filter (SAPF) control by addressing nonlinear loads. This review covers harmonic extraction and synchronization techniques, from conventional to AI-driven methods.
Area of Science:
- Electrical Engineering
- Computer Science
Background:
- Nonlinear loads cause power quality issues, necessitating advanced solutions.
- Shunt Active Power Filters (SAPFs) are crucial for mitigating these issues.
- Traditional control methods are increasingly being replaced by progressive approaches.
Purpose of the Study:
- To review and classify advanced signal processing methods for SAPF control.
- To summarize harmonic extraction techniques, including conventional and modern methods.
- To compare various synchronization techniques used in SAPF applications.
Main Methods:
- Systematic literature review of advanced digital signal processing techniques.
- Classification of harmonic extraction methods (conventional, adaptive, non-adaptive, hybrid).
- Inclusion of AI, machine learning, and genetic algorithms in the review.
Main Results:
- Advanced signal processing significantly improves SAPF performance.
- Newer methods like AI and machine learning offer superior harmonic extraction.
- A comprehensive comparison of synchronization techniques is provided.
Conclusions:
- Advanced digital signal processing is vital for modern SAPF control.
- Progressive methods offer enhanced solutions for power quality problems.
- The review provides a valuable resource for researchers and practitioners in the field.
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