Electronic Science and Technology ›› 2024, Vol. 37 ›› Issue (3): 18-25.doi: 10.16180/j.cnki.issn1007-7820.2024.03.003

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Research on Electromagnetic Transient Acceleration Simulation Technoloy of New-Type Power System

NIE Chunfang, HAO Zhenghang, CHEN Zhuo, HE Puxiang   

  1. The Electrical Engineering College,Guizhou University,Guiyang 550025,China
  • Received:2022-10-10 Online:2024-03-15 Published:2024-03-11
  • Supported by:
    The Second Batch of National New Engineering Research and Practice Projects of China(E-NYDQHGC20202227)

Abstract:

In order to solve the problems of low simulation efficiency and difficulty in simulation in the electromagnetic transient simulation of new power system due to complex system topology, numerous power electronic switching devices and insufficient single-core computing capability of simulator, this study uses the ideal transformer model segmentation algorithm to divide the large-scale new power system model into several subsystems. The decoupling and order reduction of the large system are realized and the computation of the whole system as one state-space system matrix is effectively reduced during simulation. In order to further reduce the computing burden of a single processor, an accelerated simulation platform UREP300 for efficient parallel computing in the bare-metal environment is designed by using multi-core CPU(Central Processing Unit) parallel technology. The segmented model is loaded into UREP300 for accelerated simulation experiment and compared with the offline simulation of the original model based on MATLAB/Simulink. The experimental results show that the acceleration simulation technology combining the ideal transformer model segmentation and multi-core parallel operation can not only guarantee the simulation accuracy but also improve the simulation speed to 586 times of the original, which can significantly improve the simulation efficiency, and is suitable for large-scale new power system simulation work.

Key words: new-type power system, electromagnetic transient, acceleration simulation, model segmentation, ideal transformer method, bare-metal programming, multi-core parallel, multi-core scheduling

CLC Number: 

  • TP27