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.