文章摘要
王明轩,陈颖,黄少伟,等.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. DOI: 10.7500/AEPS20170726003.
WANG Mingxuan,CHEN Ying,HUANG Shaowei, et al.Power Flow Analysis of Large-Scale Ill-Conditioned Systems Accelerated by CPU and GPU Heterogeneous Computation[J].Automation of Electric Power Systems. 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 Analysis of Large-Scale Ill-Conditioned Systems Accelerated by CPU and GPU Heterogeneous Computation
DOI:10.7500/AEPS20170726003
关键词: 病态潮流计算  连续牛顿法  GPU  CUDA
KeyWords: ill-conditioned power flow  continuous Newton’s method  GPU  CUDA
上网日期:2018-02-06
基金项目:国家自然科学基金
作者单位E-mail
王明轩 清华大学电机工程与应用电子技术系 wmx940821@126.com 
陈颖 清华大学电机工程与应用电子技术系 chen_ying@tsinghua.edu.cn 
黄少伟 清华大学电机工程与应用电子技术系 wizard-17@163.com 
魏巍 国网四川省电力公司电力科学研究院 weiwei_6898825@163.com 
常晓青 国网四川省电力公司电力科学研究院 dpshsw@126.com 
摘要:
      电网规模不断扩大,负荷增长明显,使得快速准确地进行大规模病态潮流求解具有重要的实用价值。本文将连续牛顿法(Continuous Newton’s Method, CNM)应用于大规模电力系统病态潮流求解中,将潮流方程的求解过程等效为常微分方程组积分计算过程。为了加速该计算过程,针对CPU+GPU协同计算架构,设计了基于GPU的不平衡功率快速计算方法,进而优化CNM算法并行实现所需软硬件配置,形成高效的大规模病态潮流求解方法。通过多个大规模病态潮流算例验证了所提CPU+GPU协同潮流计算方法的正确性和实用性。
Abstract:
      With the growing size and increasing load of power systems, it has great significance in practice to solve 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 in this paper, by finding an analogy between ordinary differential equations and nonlinear equations. The coordination architecture of CPU and GPU is used to accelerate power flow calculations with CNM. And unbalanced power analysis is implement-ed on GPU. Every part of the whole algorithm is optimized in consideration of characteristics of the coordination architecture. Large-scale cases are presented for convergence and efficiency tests.
查看全文   查看/发表评论  下载PDF阅读器