Design and experimental investigation on VL-MLI intended for half height (H-H) method to improve power quality using modified particle swarm optimization (MPSO) algorithm

Ramaraju, Satish Kumar and Kaliannan, Thenmalar and Androse Joseph, Sheela and Kumaravel, Umadevi and Albert, Johny Renoald and Natarajan, Arun Vignesh and Chellakutty, Gokul Prasad (2022) Design and experimental investigation on VL-MLI intended for half height (H-H) method to improve power quality using modified particle swarm optimization (MPSO) algorithm. Journal of Intelligent & Fuzzy Systems, 42 (6). pp. 5939-5956. ISSN 10641246

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Abstract

A Voltage lift performance is an excellent role to DC/DC conversion topology. The Voltage Lift Multilevel Inverter (VL-MLI) topology is suggested with minimal number of components compared to the conventional multilevel inverter (MLI). In this method, the Modified Particle Swarm Optimization (MPSO) conveys a primary task for the VL-MLI using Half Height (H-H) method, it determine the required optimum switching angles to eliminate desired value of harmonics. The simulation circuit for fifteen level output uses single switch voltage-lift inverter fed with resistive and inductive loads (R & L load). The power quality is developed by voltage-lift multilevel inverter with minimized harmonics under the various Modulation Index (MI) while varied from 0.1 up to 1. The circuit is designed in a Field Programmable Gate Array (FPGA), which includes the MPSO rules for fast convergence to reduce the lower order harmonics and finds the best optimum switching angle values. To report this problem the H-H has implemented with MPSO to reduce minimum Total Harmonic Distortion (THD) for simulation circuit using Proteus 7.7 simulink tool. Due to the absence of multiple switches, filter and inductor element exposes for novelty of the proposed system. The comparative analysis has been carried-out with existing optimization and modulation methods.

Item Type: Article
Subjects: Electrical and Electronics Engineering > Power Systems and Smart Grid
Electrical and Electronics Engineering > Renewable Energy and Sustainable Power Systems
Divisions: Electrical and Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 05 Oct 2026 08:00
Last Modified: 05 Oct 2026 08:00
URI: https://ir.vcenggw.ac.in/id/eprint/190

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