Distributed programming for high performance monitoring of electrical power systems

D. Montenegro, G. Ramos, S. Bacha
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引用次数: 1

Abstract

This paper presents the application of parallel and distributed programming methodologies for improving the performance of the weighted least square (WLS) state estimation (SE) algorithm in distribution power systems. For the monitoring of power systems it has been relevant the use of state estimation algorithms and one of the most used for this purpose is the WLS, but depending on the system complexity and size, the performance of this algorithm can be seriously affected in terms of computing time required, which is an important characteristic for Real Time (RT) monitoring applications. On the other hand, by taking advantage of the multicore capabilities of the current computer architectures and using parallel programming methodologies it is possible to improve the performance of the SE. The achieved results suggest that with these methodologies the SE becomes suitable for RT monitoring applications. All the developments where made using NI LabVIEW® and DSSim simulator.
电力系统高性能监控的分布式编程
本文介绍了在配电系统中应用并行和分布式规划方法来改进加权最小二乘状态估计算法的性能。对于电力系统的监测,状态估计算法的使用一直是相关的,其中使用最多的是WLS算法,但是根据系统的复杂性和规模,该算法的性能在计算时间方面会受到严重影响,这是实时(RT)监测应用的一个重要特征。另一方面,通过利用当前计算机体系结构的多核功能和使用并行编程方法,可以提高SE的性能。取得的结果表明,使用这些方法,SE适合于RT监视应用程序。所有开发都是使用NI LabVIEW®和DSSim模拟器进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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