@inproceedings{d00dce91cac943a79837be7912a556bb,
title = "GPU based parallel matrix exponential algorithm for large scale power system electromagnetic transient simulation",
abstract = "In order to meet the demand of fast electromagnetic transient simulation for large-scale interconnected power systems, a new method of GPU based parallel matrix exponential algorithm for power system electromagnetic transient simulation is presented in this paper. Firstly, the hardware structure and programming model of GPU are introduced. Then the high data parallelism based on matrix exponential integration algorithm is proposed. Then, a simulation test is carried out for a wind farm system including 17 WTGs. The accuracy and efficiency of the proposed method are verified. The results show that the speed of parallel computing based on GPU is about 2 times faster than that of CPU and Matlab/SimPowerSystems.",
keywords = "GPU, Matrix exponential, Parallel computation, electromagnetic transient simulation",
author = "Jinli Zhao and Juntao Liu and Peng Li and Xiaopeng Fu and Guanyu Song and Chengshan Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 ; Conference date: 28-11-2016 Through 01-12-2016",
year = "2016",
month = dec,
day = "22",
doi = "10.1109/ISGT-Asia.2016.7796370",
language = "English",
series = "IEEE PES Innovative Smart Grid Technologies Conference Europe",
publisher = "IEEE Computer Society",
pages = "110--114",
booktitle = "2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016",
address = "United States",
}