Power Quality Conditioning due to Flickering Loads with Shunt Active Power Filter using Fuzzy-Granular Controller Method

• Published in: 2021 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2021
• Main Author: Hannoon N.M.S.; Ananth D.V.N.; Hiday N.; Chowdary P.S.R.; Chakravarthy V.V.S.S.S.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123918427&doi=10.1109%2fAPSIT52773.2021.9641343&partnerID=40&md5=baa1f6c2667bc71181eb5b9f825032db

This paper proposes the modeling and analysis of a three-phase four wire Shunt Active Power Filter (SHAF) based on real and reactive power (PQ) control method for power quality advancement in the electrical distribution system. The electrical distribution system contains loads like diode rectifiers with resistive load and non-linear resistive-inductive (RL) load respectively. The SHAF system construction consists of an isolation T / Hexagon winding transformer and three-phase IGBT H-bridges for voltage source inverters (VSI). It also has a tuned band-pass type passive filter. The main aims of this paper cover design, modeling, construction, and testing of a SHAF prototype for a three-phase four wire nonlinear and unbalanced system. For effective controlling action, an advanced Fuzzy-Granular controller is used in place of a traditional PI controller. This system is capable to mitigate voltage and current harmonics at a low power distribution system. The control method is developed for absorbing higher-order harmonics and store the same in the capacitor and revert it back to the system in the form of the fundamental waveform, thereby filtering action was done. The controllers based on the d-q-0 transformation technique and first-order transfer function model with three individual PWM controllers for three phases were applied to the SHAF. The proposed system is verified with PI, ANFIS, and Fuzzy-Granular controllers using MATLAB/ Simulink and compares the difference in performance. © 2021 IEEE.