电力系统自动化2018，Vol.42Issue(10)：82-86,5.DOI:10.7500/AEPS20170726003
适用于CPU+GPU协同架构的大规模病态潮流求解方法
Power Flow Computation Method for Large-scale Ill-conditioned Systems Applied to CPU and GPU Coordination Architecture
摘要
Abstract
With the growing size and increasing load of power systems,it has great significance in practice to solve the large-scale ill-conditioned power flow problems accurately and efficiently.The continuous Newton"s method(CNM)is applied to solve the ill-conditioned cases of large-scale power systems by equalizing the solving process of nonlinear equations to the numerical integration of ordinary differential equations.The coordination architecture of central processing unit(CPU)and graphics processing unit(GPU) is used to accelerate power flow calculations with CNM.Unbalanced power analysis is designed and implemented on GPU.Every part of the whole algorithm is optimized in consideration of characteristics of the coordination architecture to form an efficient solving method.Large-scale ill-conditioned cases are presented to verify the correctness and practicality of the proposed CPU and GPU coordinated power flow computation method.关键词
病态潮流计算/连续牛顿法/图形处理器/协同架构Key words
ill-conditioned power flow computation/continuous Newton"s method(CNM)/graphics processing unit(GPU)/coordination architecture引用本文复制引用
王明轩,陈颖,黄少伟,魏巍,常晓青..适用于CPU+GPU协同架构的大规模病态潮流求解方法[J].电力系统自动化,2018,42(10):82-86,5.基金项目
国家自然科学基金资助项目(51607100).法在线应用能力.This work is supported by National Natural Science Foundation of China(No.51607100). （51607100）
