PMU deployment for optimal state estimation performance

Yue Yang, Sumit Roy
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引用次数: 10

Abstract

The future `smart' grid will see increasing deployments of intelligent electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring and control within a service area for achieving increased operational efficiency, reliability and security. Increasing penetration of Phasor Measurement Units (PMUs) like devices within the distribution grid are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective for the foreseeable future. Previous work has largely focused on achieving full topological observability with (appropriately placed) minimal number of PMUs for a given network. We observe that there typically exist multiple minimal-PMU sets that achieve full observability, affording an additional degree of freedom to select an optimal choice among this set. We define the desired solution as the placement that also achieves best state estimation performance. Accordingly, we propose two approaches - a greedy algorithm and an integer programming method to determine the PMU locations that minimize the mean-squared state estimation error.
PMU部署以获得最佳状态估计性能
未来的“智能”电网将越来越多地部署智能电子设备(IED),这些设备可以感知电网状态变量,从而在服务区域内支持增强的实时监控和控制,以实现更高的运行效率、可靠性和安全性。预计配电网内相量测量单元(PMUs)等设备的渗透率将不断提高;然而,由于PMU安装的高成本,在可预见的未来,它们的部署将继续是选择性的。以前的工作主要集中在通过(适当放置)最小数量的pmu来实现给定网络的完全拓扑可观察性。我们观察到,通常存在多个达到完全可观察性的最小pmu集,这为在这些集合中选择最优选择提供了额外的自由度。我们将期望的解决方案定义为能够实现最佳状态估计性能的位置。因此,我们提出了贪心算法和整数规划法两种方法来确定PMU的位置,使均方状态估计误差最小。
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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