Intelligent Controller Design for Fault Current Mitigation in Dstatcom Applications Using Three Phase NPC Inverter

• Published in: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT) pp. 737 - 742
• Main Authors: N, Krishnan, Ovaiz A, Mohammed, Katta, Pradeep, R, Suguna, Yusuf B, Mohammed, Madharoodeen M, Mohamed
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10-08-2023
• Subjects: ANN controller; Artificial neural networks; DSTATCOM; Fuzzy logic controller; MATLAB; Multilevel inverters; NPC multilevel inverter; Power quality; Power system stability; PQ issues; PSPWM; Pulse width modulation; Reactive power; Simulation
• DOI: 10.1109/ICCPCT58313.2023.10245960

Power quality occupies a variety of research efforts for engineers and scientists. To solve Power Quality issues, conventional compensation devices have failed to perform adequately. Power electronics based compensation devices have proven to be a more effective solution. DSTATCOMs are shunt connected custom power devices, which used to increase utility grid auxiliary service capability and improve the PQ problems, voltage and reactive power support. DSTATCOM is used to generate compensating currents which are combined with distorted current generated from nonlinear loads to remove harmonics from source currents. In this paper, the effect of reactive power consumption is eliminated by using DSTATCOM based on Neutral Point Clamped (NPC) inverters. In an NPC multilevel inverter, Level Shifted Pulse Width Modulation (LSPWM) and Phase Shifted PWM (PSPWM) approaches are used to effectively improve power stability. In order to appropriately maintain power stability and solve oscillation issues, the intelligent Artificial Neural Network (ANN) controller is executed. The performance of the system error is minimized by the fuzzy logic controller with an appropriate DC link control. Based on MATLAB simulation results, the fault current is mitigated by using NPC inverter.