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用分块加权平均的不精确Newton法计算潮流问题
引用本文:杨凤红,唐云,罗平,饶明.用分块加权平均的不精确Newton法计算潮流问题[J].清华大学学报(自然科学版),2003,43(12):1695-1698.
作者姓名:杨凤红  唐云  罗平  饶明
作者单位:1. 清华大学,数学科学系,北京,100084
2. 清华大学,计算机科学与技术系,北京,100084
3. Alberta大学中-加联合研究中心,埃德蒙顿 T6G 2G6,加拿大
基金项目:国家"九七三"重点基础研究项目(G1998020300),国家自然科学基金资助项目(10272059),云南省基础科学研究基金,加拿大NSERC
摘    要:为研究电力系统中潮流方程的快速算法,将求解大型稀疏线性方程组的componentaveraging(CAV)方法应用于电力系统潮流方程的计算,提出了一种分块加权平均的不精确Newton法,给出了算法收敛性的证明。该方法的特点是易于组织并行计算,且算法灵活,无需对方程进行特殊处理,运算效率高,适应于解大型潮流方程。用IEEE662节点的电力系统对算法进行了串行实现,结果表明:该算法是可行的和快速的。

关 键 词:电力系统  潮流  分块迭代  并行计算  不精确Newton法  CAV(componentaveraging)算法
文章编号:1000-0054(2003)12-1695-04
修稿时间:2001年1月21日

Solving load flow equations with block weighted inexact Newton method
YANG Fenghong,TANG Yun,LUO Ping,RAO Ming.Solving load flow equations with block weighted inexact Newton method[J].Journal of Tsinghua University(Science and Technology),2003,43(12):1695-1698.
Authors:YANG Fenghong  TANG Yun  LUO Ping  RAO Ming
Institution:YANG Fenghong~1,TANG Yun~1,LUO Ping~2,RAO Ming~3
Abstract:The solving load flow equations is one of the most important computational problems in power systems. Therefore, fast algorithms and improved computational efficiency are vital to improved power system performance. The component averaging (CAV) algorithm is suitable for solving large, sparse unstructured linear equations. In this paper, the CAV algorithm is used to solve the load flow equations of power systems. A block weighted inexact Newton method was developed for the CAV algorithm and its convergence was proved. The method is flexible, efficient, and suitable for parallel computations, so it can deal with large load flow equations without changing their structure. A serial implementation of the method on the IEEE 662-bus system illustrates the speed and feasibility of solving the load flow equations using the method.
Keywords:power systems  load flows  block iterative solution  parallel computations  inexact Newton method  component averaging (CAV) algorithm
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