A grid synchronization technique based on a fractional-order complex-coefficient filter
DOI:10.19783/j.cnki.pspc.240202
Key Words:grid synchronization  complex coefficient filter  phase locked loop  fractional-order  dynamic performance  fundamental positive- and negative-sequence components
Author NameAffiliation
HE Yu1,2 1. Integrated Circuit System Engineering Research Center of Jiangsu Province (Jiangsu Vocational College of Information Technology), Wuxi 214153, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China 
QI Hanhong2 1. Integrated Circuit System Engineering Research Center of Jiangsu Province (Jiangsu Vocational College of Information Technology), Wuxi 214153, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China 
ZHANG Di2 1. Integrated Circuit System Engineering Research Center of Jiangsu Province (Jiangsu Vocational College of Information Technology), Wuxi 214153, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China 
ZHOU Daolong1 1. Integrated Circuit System Engineering Research Center of Jiangsu Province (Jiangsu Vocational College of Information Technology), Wuxi 214153, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China 
DENG Xiaolong1 1. Integrated Circuit System Engineering Research Center of Jiangsu Province (Jiangsu Vocational College of Information Technology), Wuxi 214153, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China 
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Abstract:In recent years, the complex coefficient filter (CCF) has received a lot of research attention in grid synchronization technology. However, a CCF-based phase locked loop (PLL) is basically similar to the PLL based on real coefficient filters in terms of mathematical models and dynamic performance. Thus, a three-phase PLL method with a front-up fractional-order CCF is put forward. First, by using fractional-order operators to construct a pre-stage filtering structure, pole assignment is used to determine the order’s value range, and it is shown that this structure can precisely separate the grid’s fundamental positive- and negative-sequence components. Secondly, linear mathematical modeling is conducted for fractional-order CCF-based PLL. The control performance of the entire PLL system is analyzed, with the third-order least resonance peak correction method being used to set up the controller’s parameters. Finally, simulations and comparative experiments are performed. The results show that the proposed PLL can deliver better dynamic indices and quality than the existing CCF-PLL during grid changes.
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