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I
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RO
D
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N
E
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an
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d
f
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r
r
e
n
ewa
b
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g
y
s
o
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s
(
R
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is
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a
p
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c
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ea
s
in
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to
co
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p
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s
il
f
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els
s
u
ch
as
co
al,
o
il,
a
n
d
g
as
[
1
]
.
Ad
d
itio
n
ally
,
R
E
S
o
f
f
er
s
p
o
s
itiv
e
im
p
ac
ts
o
n
th
e
s
o
cial,
ec
o
n
o
m
ic,
an
d
en
v
i
r
o
n
m
e
n
tal
asp
ec
ts
[
2
]
.
R
E
S
co
m
m
o
n
ly
g
e
n
er
ate
elec
tr
ical
en
er
g
y
f
r
o
m
n
atu
r
al
r
eso
u
r
ce
s
s
u
ch
as
s
o
lar
,
win
d
,
h
y
d
r
o
,
b
io
m
ass
,
g
e
o
th
er
m
al
an
d
h
y
d
r
o
g
en
[
3
]
.
Un
f
o
r
tu
n
ately
,
s
o
m
e
o
f
th
e
av
ailab
le
R
E
Ss
ar
e
er
r
atic
an
d
in
ter
m
itten
t.
T
h
eir
o
u
tp
u
t
d
e
p
e
n
d
s
o
n
wea
th
er
c
o
n
d
itio
n
s
;
h
en
ce
,
th
ey
ca
n
n
o
t
p
r
o
d
u
ce
en
er
g
y
n
o
n
-
s
to
p
as
m
i
g
h
t
b
e
r
eq
u
ir
e
d
.
T
h
e
d
ir
ec
t
in
teg
r
atio
n
o
f
R
E
Ss
in
to
th
e
g
r
id
with
o
u
t
p
r
o
p
e
r
tech
n
ical
in
t
e
r
f
ac
e
co
u
ld
lead
to
in
s
tab
ilit
y
,
u
n
r
eliab
ilit
y
,
an
d
p
o
wer
q
u
ality
p
r
o
b
lem
s
.
Mic
r
o
g
r
id
(
MG
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tech
n
o
lo
g
y
h
as
ev
o
lv
ed
o
v
e
r
th
e
y
ea
r
s
as
a
tech
n
o
lo
g
ical
p
latf
o
r
m
en
ab
lin
g
th
e
in
teg
r
atio
n
o
f
R
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Ss
in
to
th
e
e
lectr
ical
u
tili
ty
g
r
id
.
I
t
co
n
s
is
ts
o
f
d
is
tr
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tio
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g
en
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(
D
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,
en
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g
y
s
to
r
ag
e,
an
d
lo
ad
,
wh
ich
ca
n
b
e
co
n
n
e
cted
to
th
e
n
atio
n
a
l
g
r
id
o
r
is
o
lated
[
4
]
.
T
h
is
s
y
s
tem
ca
n
o
p
er
ate
in
alter
n
atin
g
cu
r
r
en
t
(
AC
)
an
d
d
ir
ec
t
c
u
r
r
e
n
t
(
DC
)
.
T
h
e
n
atu
r
e
b
ased
o
f
DGs
s
u
ch
as
PV
an
d
W
T
f
ac
il
itate
th
e
in
s
tallatio
n
o
f
en
er
g
y
s
to
r
ag
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s
y
s
tem
(
E
S
S)
in
th
e
MG
.
T
h
ese
E
SS
s
u
ch
as
f
ly
wh
ee
l,
b
atter
y
en
er
g
y
s
to
r
ag
e
(
B
E
S),
o
r
s
u
p
er
ca
p
ac
ito
r
(
SC
)
ca
n
s
o
lv
e
th
e
p
r
o
b
lem
o
f
im
b
ala
n
ce
b
et
wee
n
lo
ad
d
em
an
d
an
d
en
er
g
y
g
en
er
atio
n
b
y
R
E
S.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
5
,
No
.
4
,
Dec
em
b
er
20
2
4
:
2535
-
2
5
4
4
2536
T
h
e
m
o
s
t
p
r
o
m
is
in
g
E
SS
in
s
talled
in
MG
ar
e
b
atter
ies
an
d
S
C
d
u
e
to
th
eir
l
o
w
co
s
t,
h
ig
h
l
if
etim
e,
r
eliab
ilit
y
,
an
d
lo
we
r
en
v
ir
o
n
m
en
tal
im
p
ac
t
[
5
]
.
Sin
ce
MG
is
r
eq
u
ir
ed
to
o
p
er
ate
p
ar
allel
with
th
e
n
atio
n
al
g
r
i
d
,
m
an
y
p
r
o
b
lem
s
n
ee
d
to
b
e
f
ig
u
r
ed
o
u
t
to
en
s
u
r
e
th
e
r
eliab
ilit
y
o
f
t
h
e
en
tire
s
y
s
tem
.
T
h
ese
p
r
o
b
lem
s
co
u
ld
b
e
d
u
e
to
a
m
is
m
atch
b
etwe
en
th
e
lo
a
d
,
th
e
i
n
ter
m
itten
t
n
atu
r
e
o
f
th
e
R
E
S,
an
d
th
e
in
tr
o
d
u
ctio
n
o
f
h
ar
m
o
n
ics
b
y
t
h
e
p
o
wer
elec
tr
o
n
ic
c
o
n
v
e
r
ter
s
[
6
]
.
T
h
er
ef
o
r
e,
MG
p
la
n
n
in
g
is
a
c
o
m
p
lex
p
r
o
ce
s
s
th
at
m
u
s
t
co
n
s
id
er
ec
o
n
o
m
ic
,
tech
n
ical,
en
v
ir
o
n
m
e
n
tal
an
d
o
th
er
f
ac
to
r
s
.
C
o
n
f
licts
o
f
ten
a
r
is
e
am
o
n
g
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h
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h
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r
is
tic
o
p
tim
izatio
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tech
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es
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o
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h
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m
in
im
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th
e
n
et
p
r
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t
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s
t
(
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[
7
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,
s
izin
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s
to
r
ag
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y
s
tem
[
8
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an
d
r
e
d
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[
9
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.
Ad
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im
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h
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ce
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atio
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[
1
0
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[
1
1
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(
a)
f
o
r
ec
ast o
u
tp
u
t
o
f
PV a
n
d
W
T
an
d
(
b
)
t
h
e
lo
ad
d
em
an
d
a
n
d
elec
tr
icity
p
r
ice
2
.
1
.
P
ro
blem
f
o
r
m
ula
t
io
n
2
.
1
.
1
.
O
bje
ct
iv
e
f
un
ct
io
n
T
h
e
m
in
im
izatio
n
o
f
th
e
o
p
er
a
tin
g
co
s
t o
f
th
e
MG
s
y
s
tem
is
r
ep
r
esen
ted
in
(
1
)
–
(
2
1
)
[
2
1
]
–
[
2
3
]
.
=
∑
+
+
24
=
1
(
1
)
W
h
er
e
is
th
e
to
tal
d
aily
o
p
e
r
a
tin
g
co
s
t o
f
MG
,
is
th
e
o
p
er
ati
n
g
co
s
t o
f
t
h
e
DG,
is
th
e
to
tal
o
p
er
atio
n
a
n
d
m
ai
n
ten
an
ce
c
o
s
t a
n
d
is
th
e
to
tal
co
s
t p
er
d
ay
o
f
B
E
S.
,
=
,
+
,
+
,
+
_
,
+
_
,
+
_
,
+
_
,
(
2
)
W
h
er
e
is
th
e
co
s
t
o
f
ex
c
h
an
g
i
n
g
p
o
wer
f
r
o
m
th
e
g
r
id
,
is
th
e
co
s
t
o
f
DG
o
p
er
atio
n
,
is
th
e
c
o
s
t
o
f
B
E
S
o
p
er
atio
n
,
_
,
,
_
,
ar
e
th
e
co
s
t
o
f
s
tar
t
-
u
p
f
o
r
MT
a
n
d
FC
r
esp
ec
tiv
ely
a
n
d
_
,
,
_
,
ar
e
th
e
co
s
t o
f
s
h
u
t
-
d
o
wn
f
o
r
MT
an
d
FC
r
esp
ec
tiv
ely
.
,
=
{
,
×
,
(
1
−
)
,
×
,
0
>
0
<
0
=
0
}
(
3
)
W
h
er
e
is
a
b
id
o
f
t
h
e
g
r
i
d
an
d
,
is
th
e
p
o
wer
o
f
g
r
i
d
.
,
=
,
×
,
×
,
+
,
×
,
×
,
+
,
×
,
+
,
×
,
(
4
)
W
h
er
e
,
,
,
ar
e
th
e
b
id
s
o
f
MT
,
FC
,
PV
an
d
W
T
an
d
,
,
,
ar
e
th
e
p
o
wer
g
en
e
r
atio
n
o
f
MT
,
FC
,
PV a
n
d
W
T
r
esp
e
ctiv
ely
,
an
d
,
ar
e
th
e
s
tatu
s
o
f
MT
an
d
FC
,
wh
er
e
0
in
d
icate
s
OFF an
d
1
in
d
icate
s
ON.
,
=
,
×
,
(
5
)
W
h
er
e
is
b
id
o
f
B
E
S a
n
d
is
p
o
wer
o
f
B
E
S.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
5
,
No
.
4
,
Dec
em
b
er
20
2
4
:
2535
-
2
5
4
4
2538
_
,
=
×
(
0
,
,
−
,
−
1
)
(
6
)
_
,
=
×
(
0
,
,
−
1
−
,
)
(
7
)
_
,
=
×
(
0
,
,
−
,
−
1
)
(
8
)
_
,
=
×
(
0
,
,
−
1
−
,
)
(
9
)
W
h
er
e
is
th
e
s
tar
t
-
u
p
co
s
t f
o
r
MT
/FC
,
is
th
e
s
h
u
t
-
d
o
wn
c
o
s
t f
o
r
MT
/FC
.
=
(
+
+
+
)
×
24
(
1
0
)
W
h
er
e
is
th
e
o
p
er
atio
n
an
d
m
ain
ten
an
ce
co
s
t o
f
MT
,
FC
,
PV
,
an
d
W
T
r
esp
ec
tiv
ely
.
=
_
365
(
(
1
+
)
(
1
+
)
+
_
)
(
1
1
)
W
h
er
e
_
is
th
e
m
ax
im
u
m
B
E
S
ca
p
ac
ity
,
is
th
e
in
ter
est
r
ate
,
is
th
e
life
tim
e
o
f
B
E
S,
is
th
e
in
s
tallatio
n
co
s
t o
f
B
E
S a
n
d
_
is
th
e
m
ain
ten
an
ce
co
s
t o
f
B
E
S.
2
.
1
.
2
.
Co
ns
t
ra
ints
T
h
e
m
in
im
izatio
n
o
p
er
atio
n
c
o
s
t is su
b
jecte
d
to
th
e
f
o
llo
win
g
co
n
s
tr
ain
ts
:
-
B
alan
ce
lo
ad
d
em
an
d
T
h
e
p
o
wer
g
en
er
atio
n
in
th
e
MG
s
y
s
tem
b
y
MT
,
FC
,
PV,
W
T
,
an
d
g
r
id
m
u
s
t
b
e
eq
u
al
t
o
th
e
lo
ad
d
em
an
d
.
,
=
,
∙
,
+
.
∙
,
+
,
+
,
+
,
(
1
2
)
W
h
er
e
,
is
th
e
lo
ad
d
em
a
n
d
at
t
im
e,
t.
-
Op
er
atin
g
p
o
wer
g
en
er
atio
n
T
h
e
p
o
wer
g
en
er
atio
n
o
f
MT
,
FC
,
PV
,
an
d
W
T
co
u
ld
b
e
with
in
th
e
m
in
im
u
m
a
n
d
m
ax
im
u
m
r
an
g
e
o
f
th
eir
g
en
er
atio
n
.
_
≤
,
≤
_
(
1
3
)
_
≤
,
≤
_
(
1
4
)
_
≤
,
≤
_
(
1
5
)
_
≤
,
≤
_
(
1
6
)
-
B
atter
y
o
p
er
atio
n
T
h
e
B
E
S
o
p
er
atio
n
m
u
s
t
o
p
er
ate
b
etwe
en
th
e
r
an
g
e
o
f
B
E
S
s
tate
o
f
ch
ar
g
e
(
SOC
)
.
T
h
e
cu
m
u
lativ
e
B
E
S
ca
p
ac
ity
m
u
s
t
b
e
co
n
s
id
er
ed
with
t
h
e
r
a
n
g
e
o
f
ca
p
ac
ity
m
in
im
u
m
an
d
m
ax
i
m
u
m
.
T
h
e
c
h
ar
g
in
g
a
n
d
d
is
ch
ar
g
in
g
m
o
d
e
o
p
er
atio
n
o
f
th
e
B
E
S in
f
lu
en
ce
s
th
e
b
atter
y
ca
p
ac
ity
.
≤
≤
(
1
7
)
_
≤
,
≤
_
(
1
8
)
_
≤
,
≤
_
(
1
9
)
-
Gr
id
o
p
er
atio
n
I
n
MG
s
y
s
tem
,
en
er
g
y
ca
n
b
e
im
p
o
r
ted
a
n
d
ex
p
o
r
te
d
to
th
e
g
r
id
with
in
a
ce
r
tain
lim
it.
Neg
at
iv
e
v
alu
es
r
ep
r
esen
t e
x
p
o
r
ted
p
o
wer
,
w
h
ile
p
o
s
itiv
e
v
alu
es
ar
e
im
p
o
r
ted
p
o
wer
.
_
≤
,
≤
_
(
2
0
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Op
timiz
in
g
b
a
tter
y
en
erg
y
s
to
r
a
g
e
s
iz
in
g
in
micro
g
r
id
s
u
s
in
g
ma
n
ta
r
a
y
f
o
r
a
g
in
g
…
(
Ya
z
h
a
r
Ya
tim
)
2539
-
Op
er
atin
g
r
eser
v
e
Op
er
atin
g
r
eser
v
e
is
th
e
s
u
m
o
f
th
e
b
alan
ce
ca
p
ac
ity
b
etwe
e
n
m
ax
im
u
m
g
e
n
er
atio
n
an
d
d
i
s
p
atch
ab
le
o
u
tp
u
t
p
o
wer
f
o
r
ea
ch
DG,
ex
clu
d
in
g
R
E
S.
T
h
e
am
o
u
n
t
o
f
p
o
wer
ca
n
b
e
ca
lcu
lated
as:
+
,
≥
(
_
∙
,
+
_
∙
,
+
_
+
_
)
(
2
1
)
2
.
2
.
M
a
nta
ra
y
f
o
r
a
g
ing
o
pti
m
iz
er
Ma
n
ta
r
ay
f
o
r
ag
in
g
o
p
tim
izer
(
MRF
O)
is
a
n
o
v
el
m
eta
-
h
e
u
r
is
tic
alg
o
r
ith
m
tech
n
iq
u
e
p
r
o
p
o
s
ed
b
y
Z
h
ao
et.
a
l.
[
2
4
]
in
2
0
2
0
.
I
t
is
in
s
p
ir
ed
b
y
th
e
f
o
r
ag
in
g
b
eh
av
io
r
s
o
f
m
an
ta
r
ay
s
,
s
p
ec
if
ically
th
eir
m
eth
o
d
s
f
o
r
o
b
tain
in
g
p
la
n
k
to
n
.
I
t
h
as
s
h
o
wn
p
r
o
m
is
in
g
r
esu
lts
ac
r
o
s
s
v
ar
io
u
s
ap
p
licatio
n
s
s
u
ch
as
en
er
g
y
an
d
p
o
wer
,
im
ag
e
p
r
o
ce
s
s
in
g
,
PID
co
n
t
r
o
l,
PV
p
ar
am
eter
o
p
tim
izatio
n
,
f
ea
tu
r
e
s
elec
tio
n
,
s
ch
ed
u
lin
g
,
an
d
o
th
er
f
ield
s
[
2
5
]
.
T
h
is
alg
o
r
ith
m
in
c
o
r
p
o
r
ates th
r
ee
m
ain
s
tr
ateg
ies:
ch
ain
f
o
r
a
g
in
g
,
cy
clo
n
e
f
o
r
ag
in
g
,
an
d
s
o
m
e
r
s
au
lt f
o
r
ag
in
g
.
2
.
2
.
1
.
Cha
in
f
o
ra
g
ing
T
h
e
m
ath
em
atica
l m
o
d
el
r
ep
r
e
s
en
ts
th
e
ch
ain
b
eh
a
v
io
r
o
f
m
a
n
ta
r
ay
s
as in
(
22
)
.
(
+
1
)
=
{
(
)
+
∙
(
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
1
(
)
+
∙
(
−
1
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
2
(
2
2
)
=
2
∙
∙
√
|
l
og
(
)
|
(
2
3
)
W
h
er
e,
(
)
is
th
e
p
o
s
itio
n
o
f
i
th
i
n
d
iv
id
u
al
at
tim
e
t
i
n
d
th
d
im
e
n
s
io
n
,
α
is
a
weig
h
t c
o
ef
f
icien
t,
(
)
r
ep
r
esen
ts
th
e
p
lan
k
to
n
with
h
ig
h
co
n
ce
n
tr
atio
n
,
r
is
th
e
r
an
d
o
m
n
u
m
b
er
in
[
0
,
1
]
.
2
.
2
.
2
.
Cy
clo
ne
f
o
r
a
g
ing
T
h
e
m
ath
em
atica
l m
o
d
el
r
ep
r
e
s
en
ts
th
e
cy
clo
n
e
b
e
h
av
io
r
o
f
m
an
ta
r
ay
s
as in
(
24
)
a
n
d
(
25
)
.
(
+
1
)
=
{
+
∙
(
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
1
+
∙
(
−
1
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
2
(
2
4
)
(
+
1
)
=
{
+
∙
(
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
1
+
∙
(
−
1
(
)
−
(
)
)
+
∙
(
(
)
−
(
)
)
=
2
(
2
5
)
=
{
:
+
∙
(
−
)
(
2
6
)
=
2
1
−
+
1
∙
s
in
(
2
1
)
(
2
7
)
W
h
er
e,
(
)
is
th
e
p
o
s
itio
n
o
f
i
th
i
n
d
iv
id
u
al
at
tim
e
t
i
n
d
th
d
im
e
n
s
io
n
,
is
a
weig
h
t c
o
ef
f
icien
t,
(
)
r
ep
r
esen
ts
th
e
p
lan
k
to
n
with
h
ig
h
co
n
ce
n
tr
atio
n
,
1
is
th
e
r
an
d
o
m
n
u
m
b
er
in
[
0
,
1
]
.
2
.
2
.
3
.
So
m
er
s
a
ult
f
o
ra
g
ing
T
h
e
m
ath
em
atica
l m
o
d
el
r
ep
r
e
s
en
ts
th
e
s
o
m
er
s
au
lt
b
eh
av
io
r
o
f
m
an
ta
r
ay
s
as in
(
28
)
.
(
+
1
)
=
(
)
+
∙
(
2
∙
−
3
∙
(
)
)
,
=
1
,
…
,
(
2
8
)
W
h
er
e
S
is
th
e
s
o
m
er
s
au
lt
f
ac
to
r
th
at
d
ec
id
es
t
h
e
s
o
m
e
r
s
au
lt
r
an
g
e
o
f
m
a
n
ta
r
a
y
s
an
d
S=2
,
2
an
d
3
ar
e
tw
o
r
an
d
o
m
n
u
m
b
er
s
in
[
0
,
1
]
.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
T
est
s
y
s
t
em
des
cr
iptio
n
T
h
is
s
y
s
tem
co
n
s
is
ts
o
f
MT
,
FC
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2088
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8
6
9
4
I
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t J Po
w
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lec
&
Dr
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,
Vo
l.
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5
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4
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4
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I
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w
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lec
&
Dr
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s
t
I
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N:
2088
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8
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4
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
5
,
No
.
4
,
Dec
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b
er
20
2
4
:
2535
-
2
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in
Az
m
i
re
c
e
iv
e
d
th
e
B.
En
g
.
d
e
g
re
e
fro
m
th
e
Un
i
v
e
rsity
M
a
lay
sia
P
e
rli
s
(Un
i
M
AP),
in
2
0
0
7
,
M
.
E
n
g
.
d
e
g
re
e
fr
o
m
Un
i
v
e
rsiti
Tek
n
o
lo
g
i
M
a
lay
sia
(UTM
),
in
2
0
0
9
a
n
d
P
h
.
D.
d
e
g
re
e
fro
m
Un
i
M
AP,
in
2
0
2
2
.
He
is cu
rre
n
tl
y
with
th
e
F
a
c
u
lt
y
o
f
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
&
Tec
h
n
o
lo
g
y
,
Un
i
M
AP.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
a
rti
ficia
l
in
tell
ig
e
n
c
e
a
n
d
o
p
ti
m
iza
ti
o
n
a
lg
o
r
it
h
m
in
p
o
we
r
sy
ste
m
s,
p
o
we
r
e
lec
tro
n
ics
,
a
n
d
r
e
n
e
wa
b
le
e
n
e
rg
y
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
a
z
ra
lmu
k
m
in
@u
n
ima
p
.
e
d
u
.
m
y
.
S
h
a
h
r
i
n
Bi
n
Md
Ay
o
b
wa
s
b
o
rn
in
Ku
a
la
Lu
m
p
u
r,
M
a
la
y
sia
.
He
re
c
e
iv
e
d
t
h
e
d
e
g
re
e
in
El
e
c
tri
c
a
l
En
g
in
e
e
ri
n
g
,
th
e
m
a
ste
r’s
d
e
g
re
e
in
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
(p
o
we
r),
a
n
d
th
e
P
h
.
D
.
d
e
g
re
e
fro
m
U
n
iv
e
rsiti
Tek
n
o
lo
g
i
M
a
lay
sia
,
i
n
2
0
0
1
,
2
0
0
3
,
a
n
d
2
0
0
9
,
re
sp
e
c
ti
v
e
l
y
.
He
is
c
u
rre
n
tl
y
a
n
a
ss
o
c
iate
p
ro
f
e
ss
o
r
with
th
e
F
a
c
u
lt
y
o
f
En
g
in
e
e
rin
g
,
S
c
h
o
o
l
o
f
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
,
Un
i
v
e
rsiti
Tek
n
o
lo
g
i
M
a
lay
sia
.
He
is
a
lso
a
re
g
istere
d
g
ra
d
u
a
te
e
n
g
i
n
e
e
r
u
n
d
e
r
th
e
Bo
a
rd
o
f
E
n
g
i
n
e
e
r
M
a
lay
sia
(BEM
).
His
c
u
rre
n
t
re
se
a
rc
h
in
tere
sts
in
c
l
u
d
e
so
lar
p
h
o
to
v
o
lt
a
ic
sy
ste
m
s,
e
lec
tri
c
v
e
h
icle
tec
h
n
o
l
o
g
y
,
fu
z
z
y
sy
ste
m
s,
a
n
d
e
v
o
lu
ti
o
n
a
ry
a
l
g
o
ri
th
m
s
fo
r
p
o
we
r
e
lec
tro
n
ics
a
p
p
li
c
a
ti
o
n
s
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
e
-
sh
a
h
rin
@
u
tm.m
y
.
To
le
S
u
t
ik
n
o
is
a
lec
tu
re
r
a
n
d
th
e
h
e
a
d
o
f
t
h
e
m
a
ste
r
p
ro
g
r
a
m
o
f
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
a
t
t
h
e
F
a
c
u
lt
y
o
f
In
d
u
strial
Tec
h
n
o
lo
g
y
a
t
Un
i
v
e
rsitas
Ah
m
a
d
Da
h
lan
(UA
D)
in
Yo
g
y
a
k
a
rta,
I
n
d
o
n
e
sia
.
He
re
c
e
iv
e
d
h
is
b
a
c
h
e
lo
r
o
f
e
n
g
in
e
e
rin
g
fro
m
Un
iv
e
rsitas
Di
p
o
n
e
g
o
ro
in
1
9
9
9
,
m
a
ste
r
o
f
e
n
g
in
e
e
rin
g
fro
m
Un
iv
e
rsitas
G
a
d
jah
M
a
d
a
in
2
0
0
4
,
a
n
d
d
o
c
to
r
o
f
p
h
il
o
so
p
h
y
in
El
e
c
tri
c
a
l
En
g
in
e
e
r
in
g
fr
o
m
Un
iv
e
rsiti
Tek
n
o
l
o
g
i
M
a
lay
sia
in
2
0
1
6
.
All
t
h
re
e
d
e
g
re
e
s
a
re
in
El
e
c
tri
c
a
l
E
n
g
in
e
e
rin
g
.
He
h
a
s
b
e
e
n
a
P
ro
fe
ss
o
r
a
t
UA
D
in
Y
o
g
y
a
k
a
rta,
In
d
o
n
e
sia
,
sin
c
e
Ju
ly
2
0
2
3
,
fo
l
lo
win
g
h
is t
e
n
u
re
a
s a
n
a
ss
o
c
iate
p
r
o
fe
ss
o
r
in
Ju
n
e
2
0
0
8
.
He
is
th
e
E
d
it
o
r
-
in
-
C
h
ief
o
f
TE
LKO
M
NIK
A
a
n
d
h
e
a
d
o
f
t
h
e
Emb
e
d
d
e
d
S
y
ste
m
s
a
n
d
P
o
we
r
El
e
c
tro
n
ics
Re
se
a
rc
h
G
ro
u
p
(E
S
P
ERG
).
He
is
o
n
e
o
f
t
h
e
t
o
p
2
%
o
f
re
se
a
rc
h
e
rs
wo
rld
wi
d
e
,
a
c
c
o
rd
in
g
to
S
ta
n
fo
r
d
U
n
iv
e
rsit
y
a
n
d
E
lse
v
ier BV'
s li
st
o
f
th
e
m
o
st
in
flu
e
n
ti
a
l
sc
ien
ti
sts
fro
m
2
0
2
1
t
o
t
h
e
p
re
se
n
t.
His
re
se
a
rc
h
in
tere
sts
c
o
v
e
r
d
i
g
it
a
l
d
e
sig
n
,
i
n
d
u
strial
a
p
p
li
c
a
ti
o
n
s,
in
d
u
strial
e
lec
tro
n
ics
,
i
n
d
u
strial
in
fo
rm
a
ti
c
s,
p
o
we
r
e
lec
tro
n
ics
,
m
o
to
r
d
ri
v
e
s,
re
n
e
wa
b
le
e
n
e
rg
y
,
F
P
G
A
a
p
p
li
c
a
ti
o
n
s,
e
m
b
e
d
d
e
d
s
y
ste
m
s,
a
rti
ficia
l
in
telli
g
e
n
c
e
,
in
telli
g
e
n
t
c
o
n
tro
l,
d
ig
it
a
l
li
b
ra
ries
,
a
n
d
i
n
fo
rm
a
ti
o
n
t
e
c
h
n
o
l
o
g
y
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
to
le@
te.u
a
d
.
a
c
.
i
d
.
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