Title
Optimal Selective Harmonic Control for Power Harmonics Mitigation
Abstract
This paper proposes an internal model principle (IMP)-based optimal selective harmonic controller (SHC) for power converters to mitigate power harmonics. According to the harmonics distribution caused by power converters, a universal recursive SHC module is developed to deal with a featured group of power harmonics. The proposed optimal SHC (OSHC) is of hybrid structure: All recursive SHC modules with weighted gains are connected in parallel. It bridges the real “nk ±m order RC” and the complex “parallel structure RC”. Compared with other IMP-based control solutions, it offers an optimal tradeoff among the cost, complexity, and performance: high accuracy, fast transient response, easy implementation, cost effective, and also easy to design. The analysis and synthesis of the OSHC system are addressed. The proposed SHC offers power converters a tailor-made optimal control solution for compensating selected harmonic frequencies. Application examples of grid-connected inverters confirm the effectiveness of the proposed control scheme.
Year
DOI
Venue
2015
10.1109/TIE.2014.2336629
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
grid-connected inverters,harmonics suppression,optimal control,power system harmonics,imp-based control solutions,power converters,oshc,internal model principle (imp),power harmonics mitigation,optimal selective harmonic control,power converter,transient response,optimal shc,harmonics distribution,internal model principle,resonant control (rsc),repetitive control (rc),invertors,accuracy,harmonic analysis,control systems,frequency control
Control theory,Optimal control,Repetitive control,Control theory,Harmonic,Control engineering,Converters,Electronic engineering,Automatic frequency control,Harmonic analysis,Harmonics,Engineering
Journal
Volume
Issue
ISSN
62
2
0278-0046
Citations 
PageRank 
References 
6
0.61
14
Authors
4
Name
Order
Citations
PageRank
Keliang Zhou158552.17
Yongheng Yang23015.47
Frede Blaabjerg31195248.32
Danwei Wang41529175.13