IEEE Power & Energy Magazine - May/June 2018 - 4

from the editor

Michael Henderson

we have the data
making it work for us

Digital Object Identifier 10.1109/MPE.2018.2801958
Date of publication: 18 April 2018

4

ieee power & energy magazine

©Footage Firm, iNC.

W

We have all heard the management refrain, "Show me the data,
and we will make a sound decision!" to
make sound decisions, we must identify
the data we need to collect, find workarounds when not reliably available, conduct sound analyses, and present them in
readily understandable forms. how can
we do this when the amount of data becomes overwhelmingly large?
the transformation of the electric
power industry to one with more variable
and distributed resources requires new
means of collecting and interpreting
data as a core requirement for conducting power system analysis. For example,
hundreds of thousands of behind-themeter photovoltaic installations affect system performance in the small
new england footprint. Big data analytics (Bda) provides the means of
identifying, collecting, and analyzing
critical parameters required for forecasting the system load net of photovoltaic performance.
technological improvements provide
astounding amounts of data streams that
necessitate analysis of big data in any
number of areas. Phasor measurement
units improve situational awareness;
line and equipment monitoring inform
predictive maintenance practices and
improve system resiliency. Improvements in storage technology provide opportunities for applications to the power
system but also present challenges for
effective and economical operation.

advances in communication and new
regulatory regimens can increase the
effectiveness of demand response, but
reliable operations and planning requires Bda.
Current leaders in Bda have identified applications and advanced the state
of the art. Preparing the next generation
of analysts and engineers with the ability
to perform technical evaluations of Bda
is also mission critical in this relatively
new and exciting field for power system analysis. Presenting Bda results in
readily understandable ways to less technical audiences, however, remains key to
sound management decisions and communication with interested stakeholders,
such as policy makers.

In This Issue
this issue of IEEE Power & Energy
Magazine summarizes the why and how
of Bda. although some of the articles
describe highly technical methods of
analyses, our readership would be well
served by reading all of the articles in
their entirety. highly analytical practitioners will learn some of the Bda
methods being used, and those less familiar with the state of the art will learn
the possible applications and means of
showing Bda results.
Guest editor tao hong compiled
six well-written articles that illustrate
major issues and how Bda applications
(continued on p. 100)
may/june 2018



Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - May/June 2018

Contents
IEEE Power & Energy Magazine - May/June 2018 - Cover1
IEEE Power & Energy Magazine - May/June 2018 - Cover2
IEEE Power & Energy Magazine - May/June 2018 - Contents
IEEE Power & Energy Magazine - May/June 2018 - 2
IEEE Power & Energy Magazine - May/June 2018 - 3
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IEEE Power & Energy Magazine - May/June 2018 - Cover3
IEEE Power & Energy Magazine - May/June 2018 - Cover4
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