IEEE Power & Energy Magazine - January/February 2016 - 67

with grid disturbances, real-time data acquisition at the distribution level, interoperation between various enterprise
applications, and monitoring. a few of the important objectives of the r-apDrp are reduction of aggregate technical
and commercial (at&C) losses, improving the reliability
and quality of service in terms of reducing outages, and
maintaining acceptable frequency and voltage profiles. the
r-apDrp process is categorized into two parts:
1) to get verified baseline at&C losses, as well as
sCaDa/Dms implementation, part a will include
projects for establishing baseline data and information
technology (it) applications like meter data acquisition,
meter reading, billing, collections, gis, management
information system, energy audit, new connection, disconnection, customer care services, and web services.
2) part B will include distribution-strengthening projects. eventually, in phased manner, the Cim-based
Dms platform will be established and will pave the
way for seamless interoperation between utility enterprise applications.

Moving Forward
although data itself does not get smarter, utilities and other
stakeholders of the electric grid will be getting tremendously
smarter about how data is generated, transformed, and consumed. the grid of things (or "got," a more useful and
industry-specific application of the concept of the internet of
things), with millions of data points, will provide tremendous
insight into the real-time operations of utilities. however, it
will be important that as capabilities are added, they are added
in a thoughtful manner. as has been noted earlier utilities are
very good at creating "successful silos"-that is, adding new
systems to address problems and successfully implementing
these new systems. however, the challenge is that often these
new systems are not added holistically, with an eye toward
making sure that redundancies are not being added to the corporate it landscape (creating rather more an it landfill than
an it landscape). redundant, brittle it systems create a drag
on an organization's ability to perform at the highest levels to
address new data challenges.
irrespective of the blessings and challenges that successful silos bring, new computing capabilities continue to
be tapped. technologies such as wearable computers and
augmented reality will not only be consumers of this new
data but will also help move workers closer to where they
are needed much faster than in the past, with new insights
and new ways of visualizing assets both in the field and at
generation facilities. further, the new capabilities of wearables and augmented reality will facilitate making the work
in the field safer than ever before, allowing workers to see
energized or hot assets long before they are in proximity of
danger. the new capabilities will also allow them to have
"just-in-time" information about any asset they are working
with, delivered, literally, right before their eyes.

january/february 2016

the development of new use cases and the maturing of
existing standards will continue to be an important part of
the new "smarter data" paradigm. while some decry the
notion that "the Cim is always changing," this is, in fact,
the greatest strength of the Cim-an extensibility that is
imperative as new use cases continue to be identified. the
first standard in the Cim "family" was originally published
in 2003 (ieC 61970-301). in the intervening dozen years, we
have seen new standard families (ieC 61968, ieC 62325)
leverage the model, each bringing additional standards documents into this body of work.
the Cim has already extended far beyond its roots as a
definitive standard for power assets and is now being used for
distribution, energy markets, dynamics, weather, and integration of utility applications. these updates reflect the value the
Cim provides as a semantic standard and the value that comes
from not having to start from scratch each time a new use
case is explored but, instead, leverage the good work that has
gone on before. so, as we get smarter about the management
of data, this is reflected in the Cim. and rather than becoming stagnant, the Cim will stop changing only when the utility
industry stops innovating.

For Further Reading
Application Integration at Electric Utilities-System Interfaces for Distribution Management-Part 100: Implementation Profiles, ieC 61968-100, 2013.
Getting Started with IEC 61968-9, ieC 61968-900, 2015.
Application Integration at Electric Utilities-System
Interfaces for Distribution Management-Part 4: Interfaces
for Records and Asset Management, ieC 61968-4, 2016.
IntelliGrid Common Information Model Primer, 2nd ed,
epri, palo alto, Ca, 2013.
g. ravikumar, s. a. Khaparde, and r. K. Joshi, "towards
Cim implementation challenges in control centers worldwide and indian power grid," in Proc. 2014 Annual IEEE
India Conf. (INDICON), Dec. 2014, pp. 1-6.
(2015, nov.). r-apDrp, an initiative of ministry of
power-government of india. [online]. available: http://
www.apdrp.gov.in/Default_rapDrp

Biographies
Gerald R. Gray is with the electric power research institute,
Knoxville, tennessee.
John Simmins is with the electric power research institute, Knoxville, tennessee.
Gowri Rajappan is with Doble engineering, watertown,
massachusetts.
Gelli Ravikumar is with the indian institute of technology, mumbai, india.
S.A. Khaparde is with indian institute of technlogy,
mumbai, india.
p&e

ieee power & energy magazine

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http://http:// http://www.apdrp.gov.in/Default_rapDrp

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