Measurement and Analysis of PMU Reporting Latency for Smart Grid Protection and Control Applications

Emerging power system protection and control applications require faster-responding measurements and more accurate knowledge of the actual latency of the measurement and communications systems. A new method for accurately determining the reporting latency of a phasor measurement unit (PMU) has been developed and demonstrated. This method operates in real-time, works passively for any existing PMU without requiring changes to the PMU hardware or software, and it is very accurate—providing a measurement uncertainty of ¡500 ns in many cases, significantly surpassing the 0.002 s accuracy requirement in the most recent IEEE Synchrophasor standard. Only low-cost hardware and open source software are required. It is particularly important to understand end-to-end system latency, including the impact of local and wide-area communications, rather than just the latency of the PMU device; the proposed method also supports such practical measurements. It is therefore shown how this advance can be used to enable efficient, but realistic, cross-domain power system simulation studies, which incorporate measurement and communications delays. These capabilities address complexity and uncertainty in the design and operation of future PMU-based protection and control functions for new smart grid services.

[1]  Andrew J. Roscoe,et al.  Exploring the Relative Performance of Frequency-Tracking and Fixed-Filter Phasor Measurement Unit Algorithms Under C37.118 Test Procedures, the Effects of Interharmonics, and Initial Attempts at Merging P-Class Response With M-Class Filtering , 2013, IEEE Transactions on Instrumentation and Measurement.

[2]  Duncan A. Campbell,et al.  Direct Evaluation of IEC 61850-9-2 Process Bus Network Performance , 2012, IEEE Transactions on Smart Grid.

[3]  J. P. Braun,et al.  The calibration of static and dynamic performances of PMUs , 2015 .

[4]  Gert Rietveld,et al.  Measurement Infrastructure to Support the Reliable Operation of Smart Electrical Grids , 2015, IEEE Transactions on Instrumentation and Measurement.

[5]  Steven M. Blair,et al.  Validating secure and reliable IP/MPLS communications for current differential protection , 2016 .

[6]  Steven M. Blair,et al.  Real-time compression of IEC 61869-9 sampled value data , 2016, 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[7]  Paolo Attilio Pegoraro,et al.  Automated test system to assess reporting latency in PMUs , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[8]  Gianluca Chiozzi,et al.  MathWorks Simulink and C++ integration with the new VLT PLC-based standard development platform for instrument control systems , 2014, Astronomical Telescopes and Instrumentation.

[9]  Federico Coffele,et al.  An open platform for rapid-prototyping protection and control schemes with IEC 61850 , 2013, 2013 IEEE Power & Energy Society General Meeting.

[10]  Steven M. Blair,et al.  Wide area protection and fault location : review and evaluation of PMU-based methods , 2018 .

[11]  Steven M. Blair,et al.  Choice and properties of adaptive and tunable digital boxcar (moving average) filters for power systems and other signal processing applications , 2016, 2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[12]  Jason C. Neely,et al.  Open-loop testing results for the pacific DC intertie wide area damping controller , 2017, 2017 IEEE Manchester PowerTech.

[13]  Kenneth E. Martin,et al.  Synchrophasor Measurements Under the IEEE Standard C37.118.1-2011 With Amendment C37.118.1a , 2015, IEEE Transactions on Power Delivery.

[14]  Steven M. Blair,et al.  Real-time teleprotection testing using IP/MPLS over xDSL , 2013 .

[15]  G. M. Burt,et al.  P and M Class Phasor Measurement Unit Algorithms Using Adaptive Cascaded Filters , 2013, IEEE Transactions on Power Delivery.

[16]  Antonello Monti,et al.  Phasor measurement units and wide area monitoring systems , 2016 .

[17]  F. Steinhauser Assessing communication networks for distributed protection and automation systems with time synchronized and distributed measurement systems , 2016 .

[18]  Steve Widergren,et al.  A Society of Devices: Integrating Intelligent Distributed Resources with Transactive Energy , 2016, IEEE Power and Energy Magazine.

[19]  Mario Paolone,et al.  Architecture and Experimental Validation of a Low-Latency Phasor Data Concentrator , 2018, IEEE Transactions on Smart Grid.

[20]  K. P. Valavanis,et al.  A case for I/O response benchmarking of microprocessors , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[21]  Gert Rietveld,et al.  The Case for Redefinition of Frequency and ROCOF to Account for AC Power System Phase Steps , 2017, 2017 IEEE International Workshop on Applied Measurements for Power Systems (AMPS).

[22]  Campbell Booth,et al.  A VSM (virtual synchronous machine) convertor control model suitable for RMS studies for resolving system operator/owner challenges , 2016 .

[23]  Douglas Wilson,et al.  Smart frequency control for the future GB power system , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[24]  Karl Schoder,et al.  Controller HIL testing of real-time distributed frequency control for future power systems , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[25]  Steven M. Blair,et al.  Modeling and Analysis of Asymmetrical Latency in Packet-Based Networks for Current Differential Protection Application , 2018, IEEE Transactions on Power Delivery.