Towards a computationally feasible on-line voltage instability index
Towards a computationally feasible on-line voltage instability index
复制标题
寻求计算上可行的在线电压不稳定指数
DOI：
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发表时间：
1988
期刊：
影响因子：
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通讯作者：
F. Luk
中科院分区：
文献类型：
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作者：
A. Tiranuchit;L. Ewerbring;R. A. Duryea;R. Thomas;F. Luk
一些研究人员建议使用网络描述潮流方程的雅可比行列式的奇异性来表征电力系统电压崩溃。有人建议使用雅可比行列式的最小奇异值作为安全指标来监控电力系统运行时与电压不稳定的接近程度。然而，奇异值分解 (SVD) 计算是一个迭代过程，其中包含许多与矩阵大小的三次方成比例的算术运算。讨论了使用大型并行处理器阵列的最先进的 SVD 计算方案，可线性和二次提高计算速度。比较了各种并行架构方案以及传统串行计算机的计算速度和所需运算单元的数量。 >
Several researchers have suggested characterising a power system voltage collapse using the singularity of the Jacobian of the network descripter load-flow equations. It has been proposed to use the minimum singular value of the Jacobian as a security index for monitoring how closely a power system is operating to a voltage instability. However, a singular value decomposition (SVD) computation is an iterative process with a number of arithmetic operations proportional to the cubic power of the matrix size. State-of-the-art SVD computation schemes using large arrays of parallel processors that improve the computation speed linearly and quadratically are discussed. A comparison is made between the computation speed and the number of arithmetic units required for various parallel architecture schemes as well as with the traditional serial computer. >