A new successive relaxation scheme for the W-matrix solution method on a shared memory parallel computer [power system analysis]

J. Wu, A. Bose
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Abstract

The W-matrix method has the potential to be efficient for parallel computing as a substitute for the precedence stringent substitution schemes, which are being commonly used on sequential computers for the solution of power system sparse linear matrix equations, with the support of appropriate reordering and partitioning algorithms. In this paper, the factors which may affect the performance of the W-matrix method are examined first. A bus reordering and partitioning scheme is then proposed which is aimed at reducing the fill-ins in both the triangular matrices L power system and U and the W-matrices and adjusting the patterns of the W-matrices for better parallel efficiency. Tests conducted on a shared memory parallel computer proved the effectiveness of the proposed algorithm for various power systems. Test results are presented and discussed.
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共享存储并行计算机上w矩阵求解方法的一种新的逐次松弛格式[电力系统分析]
在适当的重排序和划分算法的支持下,w矩阵方法有可能成为并行计算的有效替代优先严格替代方案。优先严格替代方案通常用于顺序计算机上求解电力系统稀疏线性矩阵方程。本文首先分析了影响w矩阵法性能的因素。然后提出了一种总线重排序和划分方案,该方案旨在减少三角形矩阵L和U、w矩阵的填充,并调整w矩阵的模式以获得更好的并行效率。在共享存储并行计算机上进行的测试证明了该算法在各种电力系统中的有效性。给出了试验结果并进行了讨论。
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Development of the Intercontrol Center Communications Protocol (ICCP) [power system control] Hydropower generation management under uncertainty via scenario analysis and parallel computation Optimal fuzzy inference for short-term load forecasting Long-term/mid-term resource optimization of a hydro-dominant power system using interior point method The design of next generation SCADA systems
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