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Data Compression for Next Generation Phasor Data Concentrators (PDCs) in a Smart Grid

机译:智能电网中下一代相量数据集中器(PDC)的数据压缩

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The storage space and cost for Smart Grid datasets has been growing exponentially due to its high data-rate of various sensor readings from Automated Metering Infrastructure (AMI), and Phasor Measurement Units (PMUs). The paper focuses on Phasor Data Concentrators (PDCs) that aggregate data from PMUs. PMUs measure real-time voltage, current and frequency parameters across the electrical grid. A typical PDC can process data from anywhere ten to forty PMUs. The paper exploits the need for appropriate security and data compression challenges simultaneously. As a result, an optimal compression method ER1c is investigated for efficient storage of IREG and C37.118 timestamped PDC data sets. We expect that our approach can greatly reduce the storage cost requirements of commercial available PDCs (SEL 3373, GE Multilin P30) by 80%. For example, 2 years of PDC data storage space can be easily replaced with only 10 days of storage space. In addition, our approach in combination with AES 256 encryption can protect PDC data to larger degree as per National Institute of Standards and Technology (NIST) standards.
机译:智能电网数据集的存储空间和成本呈指数增长,这是因为它具有来自自动计量基础架构(AMI)和相量测量单元(PMU)的各种传感器读数的高数据传输率。本文重点介绍了相量数据集中器(PDC),这些数据聚集器将从PMU中收集数据。 PMU测量整个电网的实时电压,电流和频率参数。典型的PDC可以处理10到40个PMU中的任何数据。本文同时探讨了对适当的安全性和数据压缩挑战的需求。结果,研究了用于有效存储IREG和C37.118带时间戳的PDC数据集的最佳压缩方法ER1c。我们期望我们的方法可以将商用PDC(SEL 3373,GE Multilin P30)的存储成本要求降低80%。例如,只需10天的存储空间即可轻松替换2年的PDC数据存储空间。此外,根据美国国家标准技术研究院(NIST)标准,我们的方法与AES 256加密相结合可以在更大程度上保护PDC数据。

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