Back to Search
Start Over
A fast and flexible nearest-level-equivalent space vector modulation algorithm for three-phase multilevel converters.
- Source :
-
International Journal of Electrical Power & Energy Systems . Jun2020, Vol. 118, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- • Merely one nearest space vector closet to the origin requires to be detected online. • Redundant and optimized switching sequences are flexibly generated to achieve the minimum number of switching transitions. • Continuous modulation and discontinuous modulation modes are easily obtained. • It is more hardware efficient, independent of the level number and suitable for various multilevel converters. This paper presents a nearest-level-equivalent space vector modulation (SVM) algorithm for three-phase multilevel converters. The proposed algorithm provides a simple approach to obtain three modulation vectors online based on basic vectors. In addition, the principle of nearest-level modulation (NLM) is applied in the proposed SVM to make its superior performance to the generalized SVM algorithms, which present: (1) Merely one modulation vertex need to be detected and three-phase duty cycles are obtained. Therefore, the unbalanced voltages of inner cell of neutral-point-clamped cascaded multilevel converter (NPC-CMC) can be addressed; (2) Redundant and optimized switching sequences are automatically generated to minimize the number of switching transition; (3) Different modulation modes can be flexibly chosen to optimize the harmonic benefit. The proposed SVM scheme is independent of level numbers and finally verified by simulation and experimental results. [ABSTRACT FROM AUTHOR]
- Subjects :
- *VECTOR spaces
*ELECTRICAL conductivity transitions
*FASTING
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 01420615
- Volume :
- 118
- Database :
- Academic Search Index
- Journal :
- International Journal of Electrical Power & Energy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 141582089
- Full Text :
- https://doi.org/10.1016/j.ijepes.2019.105787