电力系统自动化2018，Vol.42Issue(6)：113-119,7.DOI:10.7500/AEPS20170821009
面向指数积分方法的电磁暂态仿真GPU并行算法
GPU Based Parallel Algorithm Oriented to Exponential Integration Method for Electromagnetic Transient Simulation
摘要
Abstract
In order to realize fast electromagnetic transient simulation for the electric power system with large-scale renewable energy integration,this paper proposes a graphics processing unit(GPU)based parallel algorithm oriented to the exponential integration method for electromagnetic transient simulation.Firstly,the high degree of data parallelism in the solving process of matrix exponential integration algorithm is analyzed.Then,this feature is combined with GPU computing resources.Large-scale matrix operations required by the exponential integration method are processed by GPU while the complex parts such as system status calculation and update remain in CPU.The simulation speed is effectively improved through these measures. Finally,the parallel algorithm is tested in the wind farm with 17 and 100 wind turbines,respectively.The correctness and efficiency of the proposed parallel algorithm are verified.It also shows that the acceleration of the algorithm will be more obvious for large-scale systems.关键词
指数积分/电磁暂态仿真/图形处理器(GPU)/并行计算Key words
exponential integration/electromagnetic transient simulation/graphics processing unit (GPU)/parallel computation引用本文复制引用
赵金利,刘君陶,李鹏,富晓鹏,王成山,宋毅..面向指数积分方法的电磁暂态仿真GPU并行算法[J].电力系统自动化,2018,42(6):113-119,7.基金项目
国家自然科学基金资助项目(51577127) （51577127）
国家电网公司科技项目"复杂配电网暂态过程数模混合仿真技术研究".This work is supported by National Natural Science Foundation of China(No.51577127)and State Grid Corporation of China. （No.51577127）
