Fuzzy Logic-Based DPC for PWM Rectifiers: Enhancing Power Quality and Advancing the Sustainable Development Goals

Objective: The objective of this study is to investigate the development of efficient PWM rectifiers with the aim of enhancing energy efficiency, improving power quality, and ensuring grid stability through an advanced control strategy, contributing to the achievement of SDG. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. Direct Power Control provides a foundation for regulating active and reactive power in PWM rectifiers while addressing adaptability and harmonic reduction challenges. Method: The methodology adopted for this research comprises a structured investigation of a fuzzy logic-based Direct Power Control strategy to enhance PWM rectifier performance. Data collection was carried out through simulations, evaluating harmonic distortion, DC bus voltage stability, and power factor to assess its impact on power quality and efficiency. Results and Discussion: The results obtained reveal that the fuzzy DPC approach reduces harmonic distortion, improves power quality, and enhances rectifier adaptability. In the discussion, these findings are analyzed in relation to the theoretical framework, highlighting their impact on power flow management and energy loss minimization. Research Implications: The practical and theoretical implications of this research are discussed, offering insights into its impact on intelligent control in power electronics. These implications could encompass advancements in energy efficiency, sustainability, and the development of next-generation energy conversion systems. Originality/Value: This study contributes to the literature by innovatively integrating fuzzy logic into the DPC framework to enhance PWM rectifier efficiency. It advances power electronics and sustainable energy systems by reducing harmonic pollution and optimizing energy utilization.