A simple robust mechanism of PV-supported dynamic voltage restorer using interval type-2 fuzzy logic controller

• Published in: Automatika Vol. 64; no. 3; pp. 672 - 680
• Main Authors: P., Anitha, A. S., Kamaraja, Kumar, K. Karthik, G., Saritha
• Format: Journal Article Paper
• Language: English; Croatian
• Published: Ljubljana Taylor & Francis 03.07.2023; Taylor & Francis Ltd; KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku; Taylor & Francis Group
• Subjects: Controllers; Digital video recorders; distributed energy source; Distributed generation; dynamic voltage restorer; Electronic devices; End users; Fuzzy control; Fuzzy logic; interval type-2 fuzzy logic controller; Inverters; Reactive power; Robustness (mathematics); synchronous reference frame; Variable speed drives; Voltage sags
• ISSN: 0005-1144; 1848-3380
• DOI: 10.1080/00051144.2022.2140390

Power electronic devices and variable speed drives solve a power quality issue. To increase the power quality, the distribution side must be compensated by concurrently infusing actual and reactive power. A cost-effective method of preventing voltage sag and swell in power electronic loads is the use of a dynamic voltage restorer. To enhance the power quality for end users, a DC-link component will be combined with the DVR. Ratings for DC-Link elements and inverters are more challenging when constructing a DVR. To simplify things, the Distributed Energy Source (DES) is combined with the DC-Link and the Inverter. The PV-integrated DVR is under the supervision of the Interval type-2 Fuzzy Logic Controller using Synchronous Reference Frame Theory. Reactive power is injected and absorbed under defective situations using a variety of injection techniques with various controllers. The suggested controller enhances power quality and provides exact results under different fault scenarios. Matlab is used to compare the proposed IT2-FLC to a type-1 fuzzy-adjusted PI controller and a traditional mathematical PI controller. The results of the simulations showed that the suggested methodology provided a better outcome on the Distribution side. To validate the simulation results, a scaled-down rating prototype model is created.