TY - JOUR
T1 - GPU Based Parallel Algorithm Oriented to Exponential Integration Method for Electromagnetic Transient Simulation
AU - Zhao, Jinli
AU - Liu, Juntao
AU - Li, Peng
AU - Fu, Xiaopeng
AU - Wang, Chengshan
AU - Song, Yi
N1 - Publisher Copyright:
© 2018 Automation of Electric Power Systems Press.
PY - 2018/3/25
Y1 - 2018/3/25
N2 - 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.
AB - 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.
KW - Electromagnetic transient simulation
KW - Exponential integration
KW - Graphics processing unit (GPU)
KW - Parallel computation
UR - https://www.scopus.com/pages/publications/85046994984
U2 - 10.7500/AEPS20170821009
DO - 10.7500/AEPS20170821009
M3 - Article
AN - SCOPUS:85046994984
SN - 1000-1026
VL - 42
SP - 113
EP - 119
JO - Dianli Xitong Zidonghua/Automation of Electric Power Systems
JF - Dianli Xitong Zidonghua/Automation of Electric Power Systems
IS - 6
ER -
