Trends in Electrical Engineering Original Research
Quantum-Inspired Optimization of Multi-Level Power Converter Switching Sequences for Harmonic Reduction
Abstract
The increasing adoption of multilevel power converters in renewable energy systems, electric vehicles, and smart grid applications has created a growing demand for advanced switching optimization techniques capable of minimizing harmonic distortion while maintaining high conversion efficiency. This paper proposes a Quantum-Inspired Optimization (QIO)-based switching sequence generation framework for multilevel power converters to achieve superior harmonic reduction and enhanced power quality. The proposed approach utilizes quantum-inspired probability representation and evolutionary search mechanisms to determine the optimal switching states of the converter under varying load and operating conditions. Unlike conventional pulse-width modulation (PWM), selective harmonic elimination (SHE), and genetic algorithm-based techniques, the proposed QIO algorithm efficiently explores a larger solution space, enabling faster convergence toward optimal switching sequences with reduced computational complexity. The optimization objective simultaneously minimizes total harmonic distortion (THD), switching losses, voltage imbalance, and electromagnetic interference while maintaining stable output voltage and converter efficiency. The proposed control strategy is implemented in a cascaded multilevel inverter integrated with renewable energy sources and evaluated using MATLAB/Simulink under dynamic loading conditions. Simulation results demonstrate that the proposed quantum-inspired optimization reduces THD to 1.35%, improves converter efficiency to 98.9%, decreases switching losses by 28.6%, shortens optimization convergence time by 41.8%, and enhances output voltage quality compared with conventional optimization methods. These improvements confirm that the proposed QIO-based switching strategy provides a highly efficient, intelligent, and scalable solution for next-generation multilevel power converters, supporting reliable renewable energy integration, smart grid operation, and high-performance industrial power electronic applications.
Keywords
References (10)
- Yuan Y, Yu JL, Pan Y, Zheng S. Low-resolution phase shifter-based hybrid precoding for mmWave massive MIMO. EURASIP Journal on Wireless Communications and Networking. 2024 Nov 5;2024(1):85.
- Zeng J, Liao B. Transmit and receive hybrid beamforming design for OFDM dual-function radar- communication systems. EURASIP journal on advances in signal processing. 2023 Mar 20;2023(1):37.
- Maeng SJ, Yapici Y, Güvenç I, Dai H, Bhuyan A. Hybrid precoding for mmWave massive MIMO with one-bit DAC. IEEE Communications Letters. 2020 Aug 10;24(12):2941-5.
- Morsali A, Haghighat A, Champagne B. Deep learning-based hybrid analog-digital signal processing in mmWave massive-MIMO systems. IEEE Access. 2022 Jul 5;10:72348-62.
- Kassam J, Miri M, Magueta R, Castanheira D, Pedrosa P, Silva A, Dinis R, Gameiro A. Two-step multiuser equalization for hybrid mmwave massive mimo gfdm systems. Electronics. 2020 Jul 29;9(8):1220.
- Xie H, Wang Y, Gao Z, Ganthia BP, Truong CV. Research on frequency parameter detection of frequency shifted track circuit based on nonlinear algorithm. Nonlinear Engineering. 2021 Jan 1;10(1):592-9.
- Gu J, Wang W, Yin R, Truong CV, Ganthia BP. Complex circuit simulation and nonlinear characteristics analysis of GaN power switching device. Nonlinear Engineering. 2021 Jan 1;10(1):555- 62.
- Guo S, Li X, Guo Z, Zhao X, Meng S, Li Z. Polarization-independent optoelectronic modulator based on graphene ridge structure. Nanomaterials. 2021 Sep 29;11(10):2559.
- Deng X, Li Z, Cao F, Hong E, Fang X. Woven fibrous photodetectors for scalable UV optical communication device. Advanced Functional Materials. 2023 Jun;33(23):2213334.
- Guo FH, Hao LZ, Yu WZ, Li SQ, Liu GC, Hao JY, Liu YJ. High‐performance Si/VO2‐nanorod heterojunction photodetector based on photothermoelectric effect for detecting human radiation. Rare Metals. 2024 Mar;43(3):1177-85.