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Optimal Phasor Data Compression Unit Installation for Wide-Area Measurement Systems—An Integer Linear Programming Approach

机译：广域测量系统的最佳相量数据压缩单元安装—整数线性规划方法

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摘要

Phasor measurement units (PMUs) are time-synchronous measuring devices that acquire highly accurate phasor data at high frequency. They are the core components in wide-area measurement systems for smart grid monitoring, protection, and control. However, they do generate much data and create a heavy burden on the communication network. One of the most practical ways of alleviating this problem is to install phasor data compression units (PDCUs) across the power system to concentrate PMU data and reduce total data traffic. These PDCUs implement hardware-based compression algorithms and, therefore, will incur minimum communication delays while significantly reducing the overall traffic generated by PMU. Since these PDCUs are pieces of hardware to be installed, given a target traffic reduction rate, it is economical to decide the optimal deployment of PDCUs. We will call this the optimal PDCU installation (OPI) problem. In this paper, we first introduce the functionality of PDCU and then give a generalized OPI formulation. We also provide an extra OPI formulation that fits under the integer linear programming framework and introduce a binary search algorithm to efficiently solve it. The OPI solutions for the IEEE 30-bus, 57-bus, 118-bus, and 300-bus systems are provided in this paper.
机译：相量测量单元（PMU）是时间同步测量设备，可在高频下获取高精度的相量数据。它们是用于智能电网监控，保护和控制的广域测量系统的核心组件。但是，它们确实会产生大量数据，并给通信网络带来沉重负担。缓解此问题的最实用方法之一是在整个电源系统中安装相量数据压缩单元（PDCU），以集中PMU数据并减少总数据流量。这些PDCU实现了基于硬件的压缩算法，因此将导致最小的通信延迟，同时显着减少PMU产生的总体流量。由于这些PDCU是要安装的硬件，因此在达到目标流量减少率的情况下，决定PDCU的最佳部署是经济的。我们将其称为最佳PDCU安装（OPI）问题。在本文中，我们首先介绍PDCU的功能，然后给出广义的OPI公式。我们还提供了一个额外的OPI公式，该公式适用于整数线性编程框架，并引入了二进制搜索算法来有效地解决它。本文提供了适用于IEEE 30总线，57总线，118总线和300总线系统的OPI解决方案。

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