
A fractional time‐step simulation method suitable for the associated discrete circuit model of power electronic system
Author(s) -
Wu Pan,
Xu Jin,
Wang Keyou,
Li Zirun,
Li Guojie
Publication year - 2022
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12379
Subject(s) - emtp , transient (computer programming) , computer science , time domain , discrete time and continuous time , inverter , power (physics) , electric power system , control theory (sociology) , real time simulation , stability (learning theory) , electronic engineering , simulation , engineering , voltage , electrical engineering , mathematics , statistics , physics , control (management) , quantum mechanics , artificial intelligence , machine learning , computer vision , operating system
The associated discrete circuit (ADC) model for switches is widely used in electromagnetic transient simulation of power electronic system. When using ADC model, the problem of virtual power loss caused by L/C switching cannot be ignored and small time‐step (≤2 μs) is usually required to guarantee accuracy, both of which will limit the application of ADC model. To cope with this, a fractional time‐step simulation method (FTSSM) suitable for the ADC model of power electronic system is proposed. The method is derived from the compact form of electro‐magnetic transient program (EMTP) algorithm, and the simulation iteration is implemented by small‐step synthesis calculation with different fractional time‐steps, which are designed to locate the accurate switching actions. In this way, the simulation can be conducted under larger time‐step (to tens of μs) while the accuracy is still acceptable. Further analysis on time domain error and numerical stability of the FTSSM are discussed. Simulations of grid‐connected inverter system and permanent magnet synchronous motor (PMSM) driving system are done, using FTSSM and on PSCAD respectively for comparison. The results verify the accuracy of proposed FTSSM, and indicate that the FTSSM is helpful to accelerate the offline simulation and improve the real‐time simulation performance.