IEEE Power & Energy Magazine - March/April 2018 - 35

9
14

Vege
Vegetation Risk

21
3

1
10

11
16

Risk (%)
0-20
0
21-40
2
41-60
4
61-80
6
8
81-100

T
Trimming Zones

level-need to change to accommodate resiliency requirements
and subsequently offer tools for
monitoring and maintaining system resiliency. ems and dms
designs conceived in the late 1960s
and late 1990s, respectively, are
no longer adequate to deal with
unfolding grid dynamics, grid
expansions, and emerging electricity markets. the set of techniques
and technologies discussed in this
article point toward possible opportunities in future developments
aimed at improving grid resiliency.

For Further Reading

national academies of sciences,
engineering, and medicine, En hancing the Resilience of the
Nation's Electricity System. Washfigure 9. Predictive risk maps for vegetation-caused outages.
ington, d.c.: national academies
Press, 2017.
national academies of sciences, engineering, and medof assets (in this case, transmission line insulators), as shown
in Figure 8. We can observe from the rectangular marker on icine. (2016). Analytic Research Foundations for the Nextthe network that the individual risk changes with time and Generation Electric Grid. Washington, d.c.: national academies
Press. [Online]. available: https://doi.org/10.17226/24836
affects various insulators differently.
north american electric reliability corporation (nerc).
Once the ability to track a large number of assets and
predict their risk of failure becomes a standard ems/dms (2012). severe impact resilience: considerations and recomfunction, the resiliency affected by random asset failures mendations. [Online]. available: http://www.nerc.com/docs/
could be improved by a decision-making tool that identifies oc/sirtf/sirtF_Final_may_9_2012-Board_accepted.pdf
m. Kezunovic, Z. Obradovic, t. dokic, B. Zhang, J. stoa repair-and-replace strategy. this could become an integral
part of the control strategy that keeps the grid in normal janovic, P. dehghanian, and P.-c. chen, "data science and
big data: an environment of computational intelligence," in
operating conditions.
Predicating Spatiotemporal Impacts of Weather on Power
Systems Using Big Data Science, W. Pedrycz and s.-m. chen,
Resiliency in Outage Management:
eds. new York: springer Verlag, 2017, pp. 265-299.
Predicting Faults and Optimizing
L. H. Fink and K. carlsen, "Operating under stress and
Pro-Active Mitigation Measures
strain,"
IEEE Spectr., vol. 15, pp. 48-53, mar. 1978.
the outage-management risk-based framework can be illusm. Kezunovic, J. d. mccalley, and t. J. Overbye,
trated using the vegetation management task in distribution
systems. another ongoing study at texas a&m University has "smart grids and beyond: achieving the full potential of
focused on using the data shown in table 1 to predict outages electricity systems," Proc. IEEE, vol. 100, pp. 1329-1341,
due to weather impacts. as a result, risk maps with a high may 2012.
m. Panteli, d. trakas, P. mancarella, and n. d. Hatziarrisk of outages due to vegetation can be predicted, as shown
in Figure 9 for a town in Florida. the various colors on the gyriou, "Power systems resilience assessment: Hardening
feeder sections indicate the level of risk, and the numbering and smart operational enhancement strategies," Proc. IEEE,
of various feeder sections indicates an optimal order of tree vol. 105, no. 7, pp. 1202-1213, July 2017.
trimming aimed at reducing the risk of outage. Being predictive in nature, such data analytics techniques would allow Biographies
dms operators and maintenance crews to coordinate their Mladen Kezunovic is with texas a&m University,
mitigation actions and keep the distribution grid in normal college station.
operating conditions.
Thomas J. Overbye is with texas a&m University,
in summary, future control centers-whether at the trans- college station.
p&e
mission, distribution, microgrid, renewables, or any other
8

march/april 2018

ieee power & energy magazine

https://doi.org/10.17226/24836 http://www.nerc.com/docs/oc/sirtf/SIRTF_Final_May_9_2012-board_Accepted.pdf http://www.nerc.com/docs/oc/sirtf/SIRTF_Final_May_9_2012-board_Accepted.pdf

Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - March/April 2018