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

Author:

Ramaraju Satish Kumar1,Kaliannan Thenmalar2,Androse Joseph Sheela3,Kumaravel Umadevi4,Albert Johny Renoald2,Natarajan Arun Vignesh5,Chellakutty Gokul Prasad6

Affiliation:

1. Department of Medical Electronics Engineering, Sengunthar College of Engineering, Namakkal, Tamilnadu, India

2. Department of EEE, Vivekanandha College of Engineering for Women, Namakkal, Tamilnadu, India

3. Department of EEE, Kongu Engineering College, Perundurai, Tamilnadu, India

4. Department of EEE, Sengunthar Engineering College, Namakkal, Tamilnadu, India

5. Department of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India

6. Department of ECE, SNS College of Engineering, Coimbatore, Tamilnadu, India

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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