电力系统自动化2012，Vol.36Issue(9)：54-60,7.
基于GPU的机电暂态仿真细粒度并行算法
A Fine Granularity Parallel Algorithm for Electromechanical Transient Stability Simulation Based on Graphic Processing Unit
摘要
Abstract
A fine granularity parallel algorithm for electromechanical transient stability simulation is proposed based on the graphic processing unit（GPU） and implicit gradient method.The whole power system is divided into the generator system and non-generator system.When solving the generator system buses,first each subsystem composed of connected generator buses is allocated an independent GPU block and uses LU decomposition to solve the linear functions.Then the non-generator system is simulated on another GPU block,supported by LU messages from the generator system.Numerical results show that the accuracy of the parallel algorithm proposed is roughly the same as that of the CPU serial method and BPA software.Moreover,with an increase of the power system scale,the speedup effect is more obvious.关键词
机电暂态仿真/图形处理器/隐式梯度法/LU分解/并行算法Key words
electromechanical transient simulation/graphic processing unit(GPU)/implicit gradient method/LU decomposition/parallel algorithm分类
信息技术与安全科学引用本文复制引用
张宁宇,高山,赵欣..基于GPU的机电暂态仿真细粒度并行算法[J].电力系统自动化,2012,36(9):54-60,7.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
