Harmonic Reduction and Power Quality Improvement in Hybrid AC-DC Microgrid Using Bi-Directional Converter with Dynamic Decoupling and Neuro-Fuzzy Control

Hybrid AC-DC microgrids, which combine AC and DC renewable energy sources, face challenges in synchronization, voltage stability, harmonic suppression, and power flow control due to nonlinear disturbances and grid voltage distortions. This research proposes a novel solution, the Dynamic Quadrature Decoupling and Phase locking system (DQD-PLL), which enhances synchronization by eliminating harmonic distortions and improving the performance of AC/DC converters. Pulse Width Modulation (PWM) is integrated into the operation of the BID AC-DC converter. A Neuro-Fuzzy Recurrent Q-Learning Adaptive controller is integrated to optimize power flow control between AC and DC subgrids. The system has been simulated using MATLAB and demonstrated its effectiveness, improving efficiency, accuracy, and resilience in dynamic environments.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icspe62629.2024.10924371
Citations
5
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.64
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article

Harmonic Reduction and Power Quality Improvement in Hybrid AC-DC Microgrid Using Bi-Directional Converter with Dynamic Decoupling and Neuro-Fuzzy Control

Lalit Chandra Saikia, Putchakayala Yanna Reddy
5 citations
Microgrid Control and Optimization
1.64
article

Harmonic Reduction and Power Quality Improvement in Hybrid AC-DC Microgrid Using Bi-Directional Converter with Dynamic Decoupling and Neuro-Fuzzy Control

Lalit Chandra Saikia, Putchakayala Yanna Reddy
article en
5 citations

Abstract

Hybrid AC-DC microgrids, which combine AC and DC renewable energy sources, face challenges in synchronization, voltage stability, harmonic suppression, and power flow control due to nonlinear disturbances and grid voltage distortions. This research proposes a novel solution, the Dynamic Quadrature Decoupling and Phase locking system (DQD-PLL), which enhances synchronization by eliminating harmonic distortions and improving the performance of AC/DC converters. Pulse Width Modulation (PWM) is integrated into the operation of the BID AC-DC converter. A Neuro-Fuzzy Recurrent Q-Learning Adaptive controller is integrated to optimize power flow control between AC and DC subgrids. The system has been simulated using MATLAB and demonstrated its effectiveness, improving efficiency, accuracy, and resilience in dynamic environments.

National Institute Of Technology Silchar (IN)
Affordable and clean energy
Openalex Percentile: Top 15%
Microgrid Control and Optimization
1.64
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Harmonic Reduction and Power Quality Improvement in Hybrid AC-DC Microgrid Using Bi-Directional Converter with Dynamic Decoupling and Neuro-Fuzzy Control — Lalit Chandra Saikia, Putchakayala Yanna Reddy · (2024) | TGRS Research Map | TGRS