A Comprehensive Review of Solving Selective Harmonic Elimination Problem With Algebraic Algorithms

被引:17
作者
Wang, Chenxu [1 ]
Zhang, Qi [2 ]
Yu, Wensheng [3 ]
Yang, Kehu [4 ,5 ]
机构
[1] China Univ Min & Technol Beijing, Sch Mech & Elect Engn, Beijing 100083, Peoples R China
[2] Aalborg Univ, AAU Energy, DK-9220 Aalborg, Denmark
[3] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Beijing, Peoples R China
[4] China Univ Min & Technol Beijing, Sch Artificial Intelligence, Beijing 100083, Peoples R China
[5] China Univ Min & Technol Beijing, Inner Mongolia Res Inst, Minist Emergency Management Peoples Republ China, Key Lab Intelligent Min & Robot, Ordos 017004, Peoples R China
关键词
Mathematical models; Harmonic analysis; Power system harmonics; Pulse width modulation; Classification algorithms; Biological system modeling; Voltage; Algebraic algorithms; dc-ac conversion; high-power applications; inverters; renewable energy system; selective harmonic elimination (SHE); DESIGN; POWER;
D O I
10.1109/TPEL.2023.3327280
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Selective harmonic elimination pulsewidth modulation (SHEPWM) is an effective way to eliminate low-order harmonics in high-power applications. However, one of the biggest challenges of SHEPWM is to solve the selective harmonic elimination (SHE) equations, which are composed of some nonlinear transcendental equations. Over the past few decades, algebraic algorithms have shown a considerable ability to solve SHE equations, specifically for obtaining all exact solutions. Much research has been published about algebraic algorithms, struggling to solve more switching angles, solving different mathematic models of SHEPWM, and so on. This article comprehensively reviews existing algebraic algorithms, including elementary symmetric polynomials, power sums, Newton's identities, resultant elimination method, Wu's method, Grobner-basis-based method, Chudnovsky algorithm, polynomial homotopy continuation algorithm, and real-time implementation by algebraic algorithms. The principle operation of these methods is summarized, and their performance is analyzed in terms of execution time, solving ability, and applicability for different mathematical models.
引用
收藏
页码:850 / 868
页数:19
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