(1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2.School of Electrical Engineering and Computer Science, Washington State University, Pullman WA 99163, USA)
Development of the smart grid technology requires fast electromagnetic transient simulation, which is provided with a highly-efficient simulation environment and platform by ever-increasing widely-used graphic processing unit (GPU). First, this paper puts forward two fine-grained parallel operational-level strategies, which are parallelisms based on single instruction multiple data (SIMD) and shared memory. Next, fine-grained parallel electromagnetic transient simulation algorithms for GPU are designed, and simulation procedures are implemented by adopting the two strategies in the improved electromagnetic transient algorithm. Test results of pulse-width modulation (PWM) converters show that, the fine-grained parallel simulation algorithm for GPU enhances simulation efficiency enormously while maintaining accuracy. It's also shown that the algorithm is especially useful when dealing with large system simulation problems.
The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
|||GAO Haixiang, CHEN Ying, YU Zhitong, et al. Fast Electromagnetic Transient Simulation Method for PWM Converters Based on Averaging Theory：Part Three Improved EMTP Parallel Algorithm for Graphic Processing Unit[J]. Automation of Electric Power Systems,2014,38(6):43-48. DOI:10.7500/AEPS20130724001|