IEEE Electrification - June 2021 - 4

ABOUT THIS ISSUE
The contribution of Varma et al.,
" Grid Support Benefits of Solar PV Systems
as STATCOM (PV-STATCOM)
Through Converter Control, " provides
more evidence regarding the control
objective of grid-tied in verters: providing
volt-var support if possible. In this
article, a solar PV's inverter is redesigned
to achieve additional volt-var
support. This implementation is
termed PV-STATCOM, where the PV
can be used as a static var generator to
support critical induction motor loads.
In his talk, " You and Your Re -
search, " delivered in 1986, Richard
Hamming mentioned that he considered
" how will computers change science "
at a time when nine of ten
experiments were performed in the
lab. He came up with the observation
that nine out of ten experiments
would be done on computers and that
computers were transforming science.
Today, in the power grid industry,
computer simulation is the tool for
studying the interactions of grid-tied
inverters with ac grids. The sixth feature
article, by Ramasubramanian et al.,
" Simulation of 100% Inverter-Based
Resource Grids With Positive Sequence
Modeling, " describes a new generation
of positive-sequence dynamic models
developed by the Western Electricity
Coordinating Council model validation
subcommittee to simulate grid-forming
inverters. These inverters have the
capability to provide voltage and frequency
support.
While the current industry still
relies on proprietary software packages
for modeling, open source computing
has been adopted by the
computer science community as the
norm. Most recently, the Massachusetts
Institute of Technology has
offered the course Introduction to
Computational Thinking, in which
Julia, an open source computing language,
is adopted as the computing
tool. Stanford University adopted Julia
as the language for a fundamental
engineering course, ENGR 108:
Introduction to Matrix Methods.
Open source computing can equip
professionals of our communities
(the IEEE Power & Energy Society,
IEEE Power Electronics Society, IEEE
Industry Applications Society, and
IEEE Transportation Electrification
Community) with free tools for research
and development. Julia is
claimed to be as easy to use as MATLAB,
with a computing speed second
only to that of C. Julia also has an
extensive community that adds in
packages continuously.
The most exciting feature of open
source computing is the formation of a
community where research results are
reproducible; this allows the speed
of innovation to be significantly
improved. The seventh feature article
of this issue, contributed by a group of
researchers from the University of California,
Berkeley, and the National
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Renewable Energy Laboratory, is titled
" Transient Simulations With a Large
Penetration of Converter-Interfaced
Generation. " In this article, the authors
present an open source inverter-grid
modeling framework in Julia. Readers
also get a glimpse of Julia and many
useful packages for dynamic simulation
and small-signal analysis.
We would like to acknowledge
all of the authors for their efforts. We
also want to recognize Randi E. Scholnick-Philippidis
and Craig Causer for
their indispensable contributions to
this magazine.
We hope you enjoy this issue!
For Further Reading
" Introduction to computational thinking. "
MIT. https://computationalthinking
.mit.edu/Spring21/ (accessed Apr. 16,
2021).
" ENGR108: Introduction to matrix
methods. " Stanford. https://stanford
.edu/class/engr108/ (accessed Apr. 16,
2021).
Digital Object Identifier 10.1109/MELE.2021.3081006
4
IEEE Electrification Magazine / JUNE 2021
http://smartcities.ieee.org/join http://smartgrid.ieee.org/join https://computationalthinking.mit.edu/Spring21/ https://computationalthinking.mit.edu/Spring21/ https://stanford.edu/class/engr108/ https://stanford.edu/class/engr108/
IEEE Electrification - June 2021

Table of Contents for the Digital Edition of IEEE Electrification - June 2021
