Real Time Dynamics Monitoring System (RTDMS®) for use with SynchroPhasor technology in power systems

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

“…The big data has potential to (a) improve reliability and resiliency of power grid, (b) deliver optimum asset management and operations, (c) improve decision making by sharing information/ data, and (d) support rapid analysis of extremely large data sets for performance improvement. However, the current trend in smart grid is that the smart meter big data is primarily used for DR, load forecasting, baseline estimation, and load clustering type of applications [146][147][148][149][150], while the application of PMU big data is focused mainly on transmission grid visualisation, state estimation, and dynamic model calibration [61,83,151]. Fig.…”

“…Scatter diagram, parallel coordinate, and Andrew curve in combination with real‐time monitoring can resolve the problem of high‐dimensional data visualisation [147]. Commercial tools, such as real‐time dynamics monitoring system (RTDMS), are available for visualisation using PMU big data [151]. RTDMS provides several visualisation options including dashboard display for situational awareness, voltage angle contour plots, voltage magnitude plot, frequency plot, oscillatory mode plot etc.…”

“…2, pp. [141][142][143][144][145][146][147][148][149][150][151][152][153][154] This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) operated [18,19]. Big data in smart grids allow improvisation in existing operation and planning practices at all levels, i.e.…”

Application of Dynamic State and Parameter Estimation Techniques on Real-World Data

“…Hence the foremost important step is to estimate the reactances: the external one X e and the transient reactances x ′ d1 and x ′ d2 . Chow et al [1] developed the relationship of the line impedances and the voltage magnitude deviation at three buses on a radial line (the sending bus, the receiving bus and the middle point bus) as shown in (1) and (2). The middle point voltage phasor is computed from the two terminal voltage phasors.…”

“…Hasor Measurement Units (PMU) data in Eastern Interconnection (EI) collected by Real Time Dynamics Monitoring System (RTDMS) database [2] has a 30 Hz sampling rate. This is a much faster sampling rate compared with the conventional state estimation with a 0.2 Hz sampling rate.…”