Real-Time Simulation and Hardware-in-the-Loop Testbed for Distribution Synchrophasor Applications

With the advent of Distribution Phasor Measurement Units (D-PMUs) and Micro-Synchrophasors (Micro-PMUs), the situational awareness in power distribution systems is going to the next level using time-synchronization. However, designing, analyzing, and testing of such accurate measurement devices are still challenging. Due to the lack of available knowledge and sufficient history for synchrophasors’ applications at the power distribution level, the realistic simulation, and validation environments are essential for D-PMU development and deployment. This paper presents a vendor agnostic PMU real-time simulation and hardware-in-the-Loop (PMU-RTS-HIL) testbed, which helps in multiple PMUs validation and studies. The network of real and virtual PMUs was built in a full time-synchronized environment for PMU applications’ validation. The proposed testbed also includes an emulated communication network (CNS) layer to replicate bandwidth, packet loss and collisions conditions inherent to the PMUs data streams’ issues. Experimental results demonstrate the flexibility and scalability of the developed PMU-RTS-HIL testbed by producing large amounts of measurements under typical normal and abnormal distribution grid operation conditions.

[1]  A. White,et al.  Synchrophasor Monitoring for Distribution Systems : Technical Foundations and Applications , 2018 .

[2]  Luigi Vanfretti,et al.  Real-Time Reduced Steady-State Model Synthesis of Active Distribution Networks Using PMU Measurements , 2017, IEEE Transactions on Power Delivery.

[3]  Luis Ibarra,et al.  Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment , 2017 .

[4]  Guido Cavraro,et al.  Power Distribution Network Topology Detection With Time-Series Signature Verification Method , 2018, IEEE Transactions on Power Systems.

[5]  Kai Strunz,et al.  Real-Time Simulation Technologies for Power Systems Design, Testing, and Analysis , 2015, IEEE Power and Energy Technology Systems Journal.

[6]  C. Spanos,et al.  Online learning of Contextual Hidden Markov Models for temporal-spatial data analysis , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[7]  T. E. McDermott,et al.  Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders , 2018, IEEE Transactions on Power Systems.

[8]  Anjan Bose,et al.  Bandwidth and latency requirements for smart transmission grid applications , 2013, PES 2013.

[9]  T.R. Henderson,et al.  CORE: A real-time network emulator , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[10]  Mario Paolone,et al.  Experimental Validation of a Steady State Model Synthesis Method for a Three-Phase Unbalanced Active Distribution Network Feeder , 2018, IEEE Access.

[11]  M. Omar Faruque,et al.  Fault location identification in smart distribution networks with Distributed Generation , 2015, 2015 North American Power Symposium (NAPS).

[12]  Karl Schoder,et al.  Characteristics and Design of Power Hardware-in-the-Loop Simulations for Electrical Power Systems , 2016, IEEE Transactions on Industrial Electronics.

[13]  Luigi Vanfretti,et al.  Experiences with dynamic PMU compliance testing using standard relay testing equipment , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[14]  Luigi Vanfretti,et al.  Experiences with steady-state PMU compliance testing using standard relay testing equipment , 2014, 2014 Electric Power Quality and Supply Reliability Conference (PQ).

[15]  Aditya Ashok,et al.  PowerCyber: A remotely accessible testbed for Cyber Physical security of the Smart Grid , 2016, 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[16]  Lingling Fan,et al.  A hardware-in-the-loop SCADA testbed , 2015, 2015 North American Power Symposium (NAPS).

[17]  Yuxun Zhou,et al.  Shape-based data analysis for event classification in power systems , 2017, 2017 IEEE Manchester PowerTech.

[18]  Anuradha M. Annaswamy,et al.  A delay-aware cyber-physical architecture for wide-area control of power systems , 2017 .

[19]  Chen-Ching Liu,et al.  A co-simulation environment for integrated cyber and power systems , 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[20]  Luigi Vanfretti,et al.  The OpenPMU Project: Challenges and perspectives , 2013, 2013 IEEE Power & Energy Society General Meeting.

[21]  Luigi Vanfretti,et al.  The OpenPMU Platform for Open-Source Phasor Measurements , 2013, IEEE Transactions on Instrumentation and Measurement.

[22]  Kameshwar Poolla,et al.  Data-driven approach for distribution network topology detection , 2015, 2015 IEEE Power & Energy Society General Meeting.

[23]  Alexandra von Meier,et al.  Topology detection in microgrids with micro-synchrophasors , 2015, 2015 IEEE Power & Energy Society General Meeting.

[24]  Joe H. Chow,et al.  Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids , 2018, IEEE Access.

[25]  Li Huang,et al.  A Hardware-in-the-Loop Based Co-Simulation Platform of Cyber-Physical Power Systems for Wide Area Protection Applications , 2017 .

[26]  Kameshwar Poolla,et al.  Phase identification in distribution networks with micro-synchrophasors , 2015, 2015 IEEE Power & Energy Society General Meeting.

[27]  Thomas H. Morris,et al.  WAMS Cyber-Physical Test Bed for Power System, Cybersecurity Study, and Data Mining , 2017, IEEE Transactions on Smart Grid.

[28]  W. H. Kersting,et al.  Radial distribution test feeders , 1991, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[29]  David E. Culler,et al.  Micro-synchrophasors for distribution systems , 2014, ISGT 2014.