Power Quality Improvement in Distribution System using ANFIS Controller

Power quality in distribution systems is a critical concern for ensuring the reliable and efficient operation of electrical networks. This abstract discusses the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for enhancing power quality in distribution systems. ANFIS, as an intelligent computational tool, demonstrates significant potential in addressing power quality issues by providing precise control and decision-making capabilities. This research focu ses on the integration of ANFIS-based controllers and algorithms into distribution systems to mitigate common power quality problems such as voltage sags, harmonics, and flicker. By employing ANFIS, the distribution system gains the ability to adapt and respond to dynamic power quality disturbances in real-time.ANFIS-based solutions offer flexibility, accuracy, and robustness in improving power quality, making them suitable for modern distribution systems with increasing renewable energy integration and complex load profiles.