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Teaching learning based optimization algorithm for effective analysis of power quality using dynamic voltage restorer Das, Soumya Ranjan; Salkuti, Surender Reddy
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 14, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v14i1.pp268-275

Abstract

In this study, the load voltage is dynamically restored utilising the dynamic voltage restorer (DVR) using the voltage injection approach. The injected voltage is generated using a voltage-source inverter (VSI), which is necessary to correct for the utility network's sag and swell characteristics voltage. The restoration process is dependent on the condition and quality of the utility system, i.e., it injects energy into the external system for the duration of voltage sag, and during voltage swell, energy is absorbed by the compensator from the external system, causing an rise in dc link voltage, which is connected across the VSI. In this study two different controllers are employed based on a learning based optimized algorithm. The simulation results are shown using two different controllers and the performance of the proposed controller is found to be a better one.
Teaching learning optimization technique FOPID controlled Cuk and SEPIC converter-based PF rectification Mishra, Alok Kumar; Das, Soumya Ranjan; Giri, Nimay Chandra; Routray, Sangram Kishore; Syam, Fathy Abdelaziz; Elwakil, Ehab S.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i1.pp311-320

Abstract

The foremost cause of harmonic contamination is the ample utilization of loads of non-linear type such as static power converters. Because of this load, the input power factor (PF) decreases heavily as they draw a current of non-sinusoidal in nature. This article gives a general presentation investigation of two PF rectification (PFR) converter (PFRC) geographies: Cuk type and single-ended primary-inductance converter or SEPIC type converter. The average current control (ACC) technique is utilized here. Notwithstanding, for control of output voltage, techniques like conventional proportional integral derivative controller (PIDC) or fractional order proportional integral derivative controller (FOPIDC) are used, and the gains of the controller are calculated using a novel teaching learning optimization technique (TLOT), considering integral time absolute error (ITAE). The analysis of both PFRC acted in Simulink/MATLAB and the estimated converters are studied under consistent and dynamic state conditions. The FOPIDC Cuk PFRC is providing 2.97% of THD compared to other converters.