4.7 Article

Carrier wave optimization for multi-level photovoltaic system to improvement of power quality in industrial environments based on Salp swarm algorithm

Journal

ENVIRONMENTAL TECHNOLOGY & INNOVATION
Volume 21, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.eti.2020.101197

Keywords

Low-frequency harmonics elimination; Cascade H-bridge multilevel inverter; Industrial environments; Salp swarm algorithm

Funding

  1. Universitas Sriwijaya [4B379]
  2. Universiti Teknologi Malaysia [05E09, 4B482, 01M44, 02M18, 05G88, 00D20]
  3. Duy Tan University

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This study proposes a new inverter control method, OSPWM, by optimizing carrier wave parameters using the Salp swarm algorithm to reduce harmonics and decrease THD output voltage. Simulation results show significant improvement with the proposed method compared to the classical SPWM method.
The use of multi-level inverters is increasing in different structures, high power and medium power applications due to advantages such as low switching losses, harmonic distortion and electromagnetic interference at the output which could be used in microgrid systems. A microgrid can be defined as groups of renewable energy sources such as photovoltaic and wind turbine i.e. The switching technique for inverter control plays a significant role in reducing or eliminating the harmonics of inverter output voltage and reducing the switching losses. To minimize the distortion of the output voltage of the cascaded H bridge multi-level inverter due to low-order harmonics, an optimization method used for frequency selection, i.e. the carrier wave amplitude in the SPWM strategy within this study. The proposed method is called OSPWM, which employs a new optimization method based on the Salp swarm algorithm. The proposed method applied to a cascade H bridge five-level inverter. The simulation results show the reduction of the low-frequency harmonics amplitude and THD output voltage by optimizing the OSPWM carrier wave parameters with the optimization algorithm. The proposed method also compared with the classical SPWM method. (C) 2020 Elsevier B.V. All rights reserved.

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