The openPDC is a complete set of applications for processing streaming time-series data in real-time. The name stands for "open source phasor data concentrator" and was originally designed for the concentration and management of real-time streaming synchrophasors. Due to the system's modular design, the openPDC can be classified as a generic event stream processor.
The openPDC is based on the SuperPDC which was developed by the Tennessee Valley Authority starting in 2004. The openPDC officially launched on October 7, 2009. [1] The first stable release of the openPDC was made available on January 28, 2010. [2] Then on February 23, 2010, AREVA T&D announced that they would be providing commercial support for the openPDC. Finally, on April 1, 2010, the Grid Protection Alliance inherited development of the openPDC and entered into a contract with the North American Electric Reliability Corporation in an effort to further enable its use as a distributed system.
The phasor data concentrator runs as a Windows service. The service is responsible for managing the life cycle of adapters that create and process the streaming phasor measurements. Adapters are split into three layers: [3] [4]
These adapters can be configured using any one of three supported database systems: Microsoft SQL Server, MySQL, and Microsoft Access. [5]
The openPDC implements a number of standard phasor protocols which can be used to receive data from devices. The supported protocols are IEEE C37.118 (v1.0 and Draft 6), IEEE 1344, BPA PDCstream, FNET, SEL Fast Message, and Macrodyne. [3] There is also a built-in concentration engine which sorts the real-time data into frames based on the timestamp associated with each measurement. The sorted measurements can then be streamed to other applications using either IEEE C37.118 or BPA PDCstream. [6] The system is capable of concentrating over one billion measurements per day coming from over 100 phasor measurement units across the Eastern Interconnection. [7] [8]
The project includes a historian for data archival. The files produced by the historian can later be analyzed using Hadoop. [3] The historian is also designed to be used in distributed systems, having a single node dedicated to archival and several others sending concentrated measurements to the central archive. This design even allows for its use in any distributed system enabling one PDC to filter measurements to another that is running a resource intensive adapter. [9] The local historian provides web services which can be used to monitor the data being archived in real-time. [10] [11]
The data quality monitoring adapters provide information about measurements entering the concentrator that have flat-lined, gone out of a specified range, or entered the concentrator with a bad timestamp. [12]
Applications included in the openPDC project:
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