ANFIS-BASED UNIFIED INTER-PHASE POWER CONTROLLER FOR ENHANCED POWER QUALITY IN HYBRID MICROGRIDS

Abstract

This paper presents a novel approach to enhancing power quality in hybrid microgrids through the implementation of a Unified Inter-Phase Power Controller (UIPPC) integrated with an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller. As hybrid microgrids increasingly integrate renewable energy sources, ensuring stable and high-quality power supply becomes crucial to mitigate issues such as voltage fluctuations and harmonic distortions. The proposed UIPPC effectively manages power flows between various generation sources and loads, while the ANFIS controller adapts to dynamic operating conditions, optimizing control strategies in real-time. Simulation results demonstrate significant improvements in power quality metrics, including reduced total harmonic distortion (THD) and enhanced voltage stability, compared to conventional control methods. This research highlights the effectiveness of combining advanced control strategies with unified power management techniques to create resilient and efficient hybrid microgrid systems. The findings underscore the potential of this approach in promoting sustainable energy solutions and improving the overall reliability of modern electrical grids.