Journal of Green Energy Research and Innovation
Quarterly

A 9-Level Switched-Capacitor Inverter applies optimized Cuckoo Search Algorithm for Single Grid-Connected Photovoltaic Systems

Articles in Press

Document Type : Research article

Authors

Farhad Zishan 1
Ali Barmakh 2
Yaser Toghani Holari 3
Hossein Kafash-Haghparast 4

1 Sahand University of Technology

2 Department of Electronic Engineering, Islamic Azad Karaj University, Karaj, Iran

3 Department of Electrical Engineering, University of Kashan, Kashan, Iran

4 Department of Electrical Engineering, Islamic Azad University, Sari, Iran.

10.61882/jgeri.2026.2080576.1093
Abstract
This paper introduces a new design of a nine-level inverter utilizing switched capacitors, combined with a novel Switched Capacitor Multilevel Inverter and Novel Cuckoo Search Optimization Algorithm (SCMLi-NOCSA), eliminating the need for transformers or inductors. This configuration can produce an AC voltage waveform that closely mimics a sine wave and has a greater amplitude than the input voltage. The inverter employs Phase Disposition Pulse Width Modulation (PDPWM) to reduce harmonic distortion, while the Cuckoo Search Algorithm is utilized to obtain swift and accurate Maximum Power Point Tracking (MPPT), particularly in sustainable sources systems such as photovoltaic (PV) arrays. The system's performance is additionally evaluated by simulating the waveforms of the boost converter and switched capacitor inverter using MATLAB/SIMULINK.

Keywords

Switched Capacitor Multilevel Inverter (SCMLI)
Phase Disposition PWM (PDPWM)
Novel optimized Cuckoo Search Algorithm (NOCSA)
MPPT
Journal of Green Energy Research and Innovation

Articles in Press, Accepted Manuscript
Available Online from 22 February 2026

  • Receive Date 11 December 2025
  • Revise Date 09 February 2026
  • Accept Date 22 February 2026
  • Publish Date 22 February 2026

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