Application of Newton Identities in Solving Selective Harmonic Elimination Problem With Algebraic Algorithms

Yang, KH (通讯作者),China Univ Min & Technol, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China.
2022
Algebraic algorithms are powerful methods in solving the selective harmonic elimination (SHE) problem, which can find all exact solutions without the requirements of choosing initial values. However, the huge computational burden and long solving time limit the solving capability of algebraic algorithms. This article presents a novel Newton's identifies-based method to simplify the SHE equations including the order reduction and the variable elimination, thereby reducing the computational burden and the solving time of algebraic algorithms or in other words improving the solving capability of the algebraic algorithms. Compared with existing simplification methods, the proposed method significantly improves the efficiency of solving SHE equations. With the proposed method, the degree of reduction is no longer the bottleneck of solving the SHE equations by using algebraic algorithms. By using the proposed method, the SHE equations with ten switching angles are completely solved with the algebraic algorithm for the first time. The simulation and experimental results indicate that the proposed method is effective and correct.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
卷号:10|期号:5|页码:5870-5881
ISSN:2168-6777|收录类别:SCIE
DOI
10.1109/JESTPE.2022.3186488
来源机构
China University of Mining & Technology; Aalborg University; Beijing University of Posts & Telecommunications
EISSN
2168-6785
出版年
2022
资助信息
This work was supported in part by the National Natural Science Foundation of China under Grant 61973307, Grant 61936008, and Grant 52121003 and in part by the 111 Project under Grant B21014. Recommended for publication by Associate Editor Josep Pou.
语种
英语
WOS学科分类
Engineering, Electrical & Electronic
被引频次(WOS)
0
180天使用计数
2
2013以来使用计数
2
被引更新日期
2023-02-19
关联机构
兰州大学循证社会科学中心
关键词
Mathematical models Switches Harmonic analysis Optimization Power electronics Power system harmonics Chebyshev approximation Elementary symmetric polynomials (ESPs) Newton's identities power sums selective harmonic elimination (SHE)
资助机构
National Natural Science Foundation of China [61973307, 61936008, 52121003] 111 Project [B21014]