IEEE Power & Energy Magazine - March/April 2020 - 68

figure 9. The virtual control room at CURENT serving as the demonstration facility of the LTB.

d- emonstration of monitoring, modeling, control, and
actuation functions.
The LTB architecture allows the integration of communication system emulators, which will enable the simulation
of cyberattacks on electrical power systems, a research area
of growing importance. With the recent implementation of
power management unit data streaming using IEEE Standard for Synchrophasor Measurements for Power Systems,
IEEE Standard C37.118, protocol and substation control
using IEC 61850, future work will focus on the cyberphysical events that stem from cyberattacks including heavy
-traffic, sniffing, and data breach, which eventually cause
stability issues in the physical grid. The future plan also
includes integration with a hardware testbed to achieve the
hardware-in-the-loop capability.

Acknowledgments
This work is supported by the Engineering Research Center
program of the NSF and the DoE under NSF Award Number EEC-1041877 and the CURENT Industry Partnership
Program. Any opinions, findings and conclusions or recommendations expressed in the material are those of the
author(s) and do not necessarily reflect those of the NSF and
the DoE. We would like to acknowledge contributions from
the CURENT LTB project team, including faculty, staff,
and research assistants at the University of Tennessee, Rensselaer Polytechnic Institute, Northeastern University, and
Tuskegee University.

For Further Reading
B. Palmintier, D. Krishnamurthy, P. Top, S. Smith, J. Daily,
and J. Fuller, "Design of the HELICS high-performance
transmission-distribution-communication-market co-simulation framework," in Proc. 2017 Workshop on Modeling and
68

ieee power & energy magazine

Simulation of Cyber-Physical Energy Systems (MSCPES),
pp. 1-6. doi: 10.1109/MSCPES.2017.8064542.
L. Vanfretti, T. Rabuzin, M. Baudette, and M. Murad,
"iTesla Power Systems Library (iPSL): A Modelica library
for phasor time-domain simulations," SoftwareX, vol. 5, pp.
84-88, May 2016. doi: 10.1016/j.softx.2016.05.001.
H. Cui and F. Li, "ANDES : A Python-based cyberphysical power system simulation tool," in Proc. North
American Power Symp., 2018, pp. 1-5. doi: 10.1109/
NAPS.2018.8600596.
A. Rouhani and A. Abur, "Linear phasor estimator assisted dynamic state estimation," IEEE Trans.
Smart Grid, vol. 9, no. 1, pp. 211-219, 2018. doi: 10.1109/
TSG.2016.2548244.
M. E. Raoufat, K. Tomsovic, and S. M. Djouadi, "Dynamic control allocation for damping of inter-area oscillations," IEEE Trans. Power Syst., vol. 32, no. 6, pp. 4894-
4903, 2017. doi: 10.1109/TPWRS.2017.2686808.
"LTB demo: Damping control allocation using wind
generation." Accessed on: Jan. 1, 2020. [Online]. Available:
https://youtu.be/OtCFRHMtdo8
F. Li, K. Tomosvic, and H. Cui, "An integrated testbed for
power system monitoring, modeling, control and actuation,"
in Proc. 11th IET Int. Conf. Advances in Power System Control, Operation and Management (APSCOM), Hong Kong,
China, Nov. 11-15, 2018. doi: 10.1049/cp.2018.1735.

Biographies
Fangxing Li is with the University of Tennessee, Knoxville.
Kevin Tomsovic is with the University of Tennessee,
Knoxville.
Hantao Cui is with the the University of Tennessee,
Knoxville.
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march/april 2020

https://www.youtu.be/OtCFRHMtdo8

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