Optimized Pulse Patterns Applied to Three-Level Inverter Based on Extended Newton-Raphson-based Optimizer Algorithm

This paper introduces the synchronous optimized pulse patterns (OPPs) modulation for NPC three-level inverter operating at low switching frequency, which minimizes the harmonic distortions of inductive loads. In order to address the issues of the traditional method where numerical algorithms require initial values and the premature convergence of the Newton-Raphson optimization algorithm (NRBO), this paper proposes an extended Newton-Raphson optimization algorithm (ENRBO) to solve the switching angles of the OPPs problem. By incorporating Lévy flight along with the expanded and narrowed exploration actions of the Aquila Optimizer(AO), the ENRBO has better optimization accuracy and can jump out of local optimum. The simulation model is built by MATLAB software, and the simulation results of the switching angles at the switching frequency of 250 Hz are verified. The experiments show that the ENRBO algorithm has a stronger advantage in solving accuracy than the NRBO algorithm, and the current total harmonic distortion rate(THD) is $\mathbf{1. 9 6 \%}$.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aees63781.2024.10872504
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized Pulse Patterns Applied to Three-Level Inverter Based on Extended Newton-Raphson-based Optimizer Algorithm

Yudong Guan, Shunfeng Yang, Jiahao Hu, Bowen Wang et al.
Power Transformer Diagnostics and Insulation
article

Optimized Pulse Patterns Applied to Three-Level Inverter Based on Extended Newton-Raphson-based Optimizer Algorithm

Yudong Guan, Shunfeng Yang, Jiahao Hu, Bowen Wang, Mengxuan Liu, Zhi Yang
article en

Abstract

This paper introduces the synchronous optimized pulse patterns (OPPs) modulation for NPC three-level inverter operating at low switching frequency, which minimizes the harmonic distortions of inductive loads. In order to address the issues of the traditional method where numerical algorithms require initial values and the premature convergence of the Newton-Raphson optimization algorithm (NRBO), this paper proposes an extended Newton-Raphson optimization algorithm (ENRBO) to solve the switching angles of the OPPs problem. By incorporating Lévy flight along with the expanded and narrowed exploration actions of the Aquila Optimizer(AO), the ENRBO has better optimization accuracy and can jump out of local optimum. The simulation model is built by MATLAB software, and the simulation results of the switching angles at the switching frequency of 250 Hz are verified. The experiments show that the ENRBO algorithm has a stronger advantage in solving accuracy than the NRBO algorithm, and the current total harmonic distortion rate(THD) is $\mathbf{1. 9 6 \%}$.

Southwest Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Power Transformer Diagnostics and Insulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimized Pulse Patterns Applied to Three-Level Inverter Based on Extended Newton-Raphson-based Optimizer Algorithm — Yudong Guan, Shunfeng Yang, et al. · (2024) | TGRS Research Map | TGRS