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

Journal of Information Security 2016年第5期7卷 291-296页

作者： Erwan Olivo Mitch Campion prakash ranganathan Department of Electrical Engineering University of North Dakota Grand Forks ND USA

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.

关键词： Compression PDCs Data Security Smart Metering Smart Grid

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Situational Awareness Using DBSCAN in Smart-Grid

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Smart Grid and Renewable Energy 2015年第5期6卷 120-127页

作者： Ranganath Vallakati Anupam Mukherjee prakash ranganathan Department of Electrical Engineering University of North Dakota Grand Forks USA

Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visualize and analyze the smart-grid data generated by synchrophasors using a visualization tool and density based clustering technique. A MATLAB based circle representation tool is utilized to visualize the real-time phasor data generated by a smart-grid model that mimics a synchrophasor. A density based clustering technique is also used to cluster the phasor data with the aim to detect contingency situations such as bad-data classification, various fault types, deviation on frequency, voltage or current values for better situational alertness. The paper uses data from an IEEE fourteen bus system test-bed modeled in MATLAB/SIMULINK to aid system operators in carrying various predictive analytics, and decisions.

关键词： Clustering Density Based Clustering (DBSCAN) IEEE Test-Bed Phasor Measurement Unit Visualization

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