SPEAKER:
Professor.
Doris
Sáez
Hueichapan,
Associate
Professor
in
the
Department
of
Electrical
Engineering,
University
of
Chile.
ABSTRACT:
A
novel
load
consumption
estimation
methodology
is
presented
for
isolated
communities
that
do
not
receive
electricity
or
only
receive
it
for
a
limited
time
each
day.
These
estimations
have
been
used
to
size
the
required
installed
capacity
of
generating
units
for
microgrid
electrification
projects.
The
social
characteristics
and
lifestyles
of
isolated
communities
differ
from
those
in
urban
areas;
therefore,
the
energy
management
system
performance
is
sensitive
to
minor
variations
in
generation
and/or
consumption,
making
critical
the
estimation
of
the
load
profile.
The
proposed
methodology
for
obtaining
the
residential
load
profiles
is
based
on
Self-Organizing
Maps,
Bayesian
networks
and
Markov
Chains.
The
load
estimation
methodology
is
applied
and
tested
in
three
different
rural
communities
in
Chile,
where
the
installation
of
microgrids
was
planned.
Additionally,
a
consumer’s
response
model
based
on
Bayesian
networks
and
Markov
Chains
is
used
in
a
demand
side
management
interface,
which
can
be
included
for
the
energy
management
system
design
of
microgrids.
BIOGRAPHY:
Dr.
Doris
Sáez
Hueichapan
(S’93–M’96–SM’05)
was
born
in
Panguipulli,
Chile.
She
received
the
M.Sc.
and
Ph.D.
degrees
in
electrical
engineering
from
the
Pontificia
Universidad
Católica
de
Chile,
in
1995
and
2000,
respectively.
She
is
currently
an
Associate
Professor
in
the
Department
of
Electrical
Engineering,
University
of
Chile.
She
is
an
Associate
Editor
of
IEEE
Transactions
on
Fuzzy
Systems
and
IEEE
Control
Systems
Magazine.
Her
research
fields
are
predictive
control,
fuzzy
control
design,
fuzzy
identification,
control
of
transport
systems
and
control
of
renewable
energy
plants.
Wednesday, July 26, 2017 1:00 pm
-
3:00 pm
EDT (GMT -04:00)