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Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters

Mohammad-Sadegh Karbasforooshan Orcid Logo, Mohammad Monfared Orcid Logo

IEEE Transactions on Power Delivery, Pages: 1 - 9

Swansea University Author: Mohammad Monfared Orcid Logo

Abstract

This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive powe...

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Published in: IEEE Transactions on Power Delivery
ISSN: 0885-8977 1937-4208
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63136
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Abstract: This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive power filter and the grid impedance. Furthermore, it can be integrated into passive filters to enhance their filtering performance. In this paper, a digital algorithm is proposed for managing the performance of each converter leg accurately. To do so, an exact model of the high-order system is developed, and the transfer function of the plant is calculated in continuous and discrete time domains. Then, a predictive deadbeat technique for HAPF current control is presented, which benefits from high accuracy, fast dynamics, and low sensitivity to system parameter mismatches. Extensive simulation and experimental tests are conducted and the results match well to confirm the success and appropriate performance of the overall system. Also, performance comparison with conventional solutions demonstrates the superiority of the suggested filtering technique.
College: Faculty of Science and Engineering
Start Page: 1
End Page: 9