(1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2. Electric Power Research Institute of State Grid Qinghai Electric Power Corporation, Xining 810000, China)

Wide utilization of converter-based interfaces in AC-DC hybrid power system requires precise modeling and simulation for complicated and large-scale control system. However, this process can be accelerated by fine-grained parallel algorithm, hence improving the simulation efficiency. A fine-grained parallel algorithm for large-scale control system simulation is proposed, and a large-scale control system simulation on graphics processing unit(GPU)is accelerated. First, in order to generate massive computing threads, the control system is modeled by a directed graph(DG)with preliminary control elements. Second, by introducing a DG layering algorithm, the control elements are divided into different layers, which can be computed by fine-grained parallel strategies on GPU. Finally, through precise adjustment for thread structure and optimal utilization of shared memory, the computing threads are mapped to GPU cores with highest degree of parallelism. In order to validate the accuracy and acceleration of the proposed algorithm, an IEEE 13-bus distribution system with distributed energy resources integration is provided. Simulation results indicate that the proposed method significantly accelerates transient analysis of control system(TACS)on GPU. In addition, no scale limits are added to the proposed algorithm with adequate computing resources. This work is supported by State Grid Corporation of China.