A gray-box harmonic resonance frequency identification method of multiple-inverter-fed power system oriented to system designers

Autor: Yue Wang, Yonggang Li, Yinan Yang, Binyuan Wu, Qiyu Liu, Mengqi Zhang, Xinshuo Li
Rok vydání: 2021
Předmět:
Zdroj: Wind Engineering. 46:545-555
ISSN: 2048-402X
0309-524X
DOI: 10.1177/0309524x211037918
Popis: This paper presents a gray-box harmonic resonance frequency identification method of multiple-inverter-fed power system, which enables modal analysis oriented to system designers based on only frequency response data provided by diverse vendors or measured by frequency scanning. First, admittance transfer functions of all grid-connected inverters (GCIs) are fitted using Matrix Pencil Method-Vector Fitting (MPM-VF) combined method. Then, node admittance matrix (NAM) is formed according to the topology of whole system. Finally, harmonic resonance frequency along with changes in number of GCIs are identified by NAM-based modal analysis (MA). The proposed gray-box identification method is implemented in a typical multiple-inverter-fed power system. The correctness of harmonic resonance frequency identification results and the effectiveness of the presented method are verified by simulation results obtained in Matlab/Simulink platform and OPAL-RT digital real-time simulation platform. Based on the identification results, a more stable and better power quality multiple-inverter-fed power system can be built by system designers though avoiding the appearance of harmonic sources with corresponding resonance frequency.
Databáze: OpenAIRE