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s
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C
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Dis
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DSTA
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Po
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A
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:
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s
m
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Mo
u
f
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tellig
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s
,
Geo
r
ess
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s
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d
R
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E
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s
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y
Dep
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tm
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t o
f
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lectr
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E
n
g
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in
g
,
Facu
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o
f
Scien
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a
n
d
T
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h
n
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lo
g
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Sid
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am
ed
B
en
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d
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s
ity
Fez
2
2
0
2
,
M
o
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o
cc
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m
ail:
is
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m
o
u
f
id
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s
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b
a.
ac
.
m
a
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
elec
tr
ical
g
r
id
is
a
s
o
p
h
is
ticated
s
y
s
tem
th
at
en
s
u
r
es
th
e
s
u
p
p
ly
o
f
elec
tr
icity
all
th
e
way
to
th
e
en
d
-
u
s
er
s
.
Ma
in
co
m
p
o
n
en
ts
in
th
e
co
m
p
o
s
itio
n
in
clu
d
e
p
o
wer
p
lan
ts
,
tr
an
s
m
is
s
io
n
an
d
d
is
tr
ib
u
tio
n
lin
es,
tr
an
s
f
o
r
m
er
s
,
an
d
elec
tr
ic
m
e
ter
s
[
1
]
.
T
h
e
elec
tr
ical
g
r
id
is
u
s
u
ally
d
iv
id
e
d
in
to
th
r
ee
le
v
els:
h
ig
h
v
o
ltag
e
,
m
ed
iu
m
v
o
ltag
e,
a
n
d
l
o
w
v
o
lt
ag
e
[
2
]
.
T
h
ese
le
v
els
ar
e
d
esi
g
n
ed
to
ca
r
r
y
th
e
en
er
g
y
p
r
o
d
u
ce
d
at
p
r
o
d
u
ctio
n
s
ites
to
en
d
co
n
s
u
m
er
s
in
o
r
d
er
to
e
n
s
u
r
e
m
a
x
im
u
m
r
o
b
u
s
tn
ess
,
o
p
tim
al
ef
f
icien
c
y
,
a
n
d
i
m
p
r
o
v
e
m
en
t
in
th
e
s
af
ety
o
f
elec
tr
ical
in
s
tallatio
n
s
.
L
o
s
s
es
in
th
e
tr
an
s
m
is
s
io
n
an
d
d
is
tr
ib
u
tio
n
n
etwo
r
k
co
n
s
titu
te
a
m
ajo
r
p
r
o
b
lem
in
an
y
p
o
wer
s
y
s
tem
.
I
n
cr
ea
s
in
g
d
em
a
n
d
f
o
r
elec
tr
icity
,
a
co
m
p
etitiv
e
e
n
er
g
y
m
ar
k
et,
an
d
en
v
ir
o
n
m
en
tal
co
n
ce
r
n
s
h
av
e
led
to
th
e
o
p
er
ati
o
n
o
f
t
r
an
s
m
is
s
io
n
an
d
d
is
tr
ib
u
tio
n
s
y
s
tem
s
m
o
s
tly
u
n
d
er
o
v
er
lo
ad
e
d
c
o
n
d
itio
n
s
,
th
er
eb
y
m
ak
i
n
g
l
o
s
s
es
in
th
e
d
is
tr
ib
u
tio
n
s
y
s
tem
a
m
ajo
r
ca
u
s
e
f
o
r
co
n
ce
r
n
.
E
s
s
en
tial
co
n
d
itio
n
s
f
o
r
ac
ce
p
tab
le
p
o
w
er
q
u
ality
an
d
in
cr
ea
s
ed
ef
f
icien
cy
m
u
s
t
b
e
m
et
if
t
h
e
ec
o
n
o
m
ic
ad
v
an
tag
es
ar
e
to
b
e
f
u
lly
r
ea
lized
[
3
]
.
T
h
is
h
as
th
er
ef
o
r
e
p
r
o
v
id
e
d
a
n
ex
ce
llen
t
en
v
ir
o
n
m
en
t
f
o
r
in
v
esti
g
atin
g
l
o
s
s
m
in
im
izatio
n
tech
n
iq
u
es a
n
d
i
m
p
lem
en
tin
g
m
o
d
er
n
o
p
er
atin
g
p
r
ac
tices [
4
]
.
T
h
e
to
tal
p
o
wer
r
ec
eiv
ed
b
y
t
h
e
d
is
tr
ib
u
tio
n
s
y
s
tem
d
ep
e
n
d
s
o
n
th
e
d
if
f
e
r
en
ce
b
etwe
en
t
o
tal
p
o
wer
g
en
er
atio
n
an
d
tr
an
s
m
is
s
io
n
p
o
wer
lo
s
s
es
[
5
]
.
Min
im
izin
g
p
o
wer
lo
s
s
es
is
th
e
o
n
ly
alter
n
a
tiv
e
to
im
p
r
o
v
e
t
h
e
ef
f
icien
cy
o
f
th
e
d
is
tr
ib
u
tio
n
s
y
s
tem
.
T
h
u
s
,
m
u
c
h
r
esear
ch
in
ter
est
h
as
b
ee
n
f
o
cu
s
e
d
o
n
t
h
e
ar
ea
s
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J Po
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&
Dr
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s
t
I
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N:
2088
-
8
6
9
4
Op
timiz
in
g
d
is
tr
ib
u
tio
n
s
ystem
p
erfo
r
ma
n
ce
:
A
co
mp
r
eh
e
n
s
ive
r
ev
iew
o
f
…
(
I
s
ma
il Mo
u
fid
)
711
d
is
tr
ib
u
tio
n
s
y
s
tem
lo
s
s
m
in
i
m
izatio
n
an
d
v
o
ltag
e
s
tab
ilit
y
f
o
r
th
e
last
f
ew
d
ec
ad
es
[
6
]
.
Sev
er
al
tech
n
iq
u
es
h
av
e
b
ee
n
p
r
o
p
o
s
ed
i
n
th
e
lite
r
atu
r
e
f
o
r
p
o
wer
lo
s
s
m
in
im
izatio
n
.
Po
wer
lo
s
s
es
in
elec
tr
ical
s
y
s
tem
s
s
h
o
u
ld
b
e
at
th
eir
m
in
im
u
m
to
b
r
in
g
f
o
r
th
b
etter
o
v
er
al
l
ef
f
icien
cy
.
So
m
e
o
f
th
e
tech
n
i
q
u
es e
m
p
lo
y
e
d
to
m
i
n
im
ize
p
o
wer
lo
s
s
es in
clu
d
e
th
e
f
o
llo
w
in
g
:
-
Op
tim
al
s
y
s
tem
o
p
er
atio
n
:
T
h
e
em
p
lo
y
m
e
n
t
o
f
ad
v
an
ce
d
alg
o
r
ith
m
s
f
o
r
th
e
o
p
tim
u
m
s
ch
ed
u
lin
g
an
d
d
is
p
atch
o
f
p
o
wer
g
e
n
er
atio
n
s
o
u
r
ce
s
to
m
in
im
ize
l
o
s
s
es wit
h
in
th
e
s
y
s
tem
.
-
L
o
ad
s
h
ed
d
in
g
an
d
d
em
an
d
r
esp
o
n
s
e
:
I
n
tellig
en
t
lo
ad
s
h
ed
d
in
g
d
u
r
i
n
g
p
ea
k
d
e
m
an
d
p
er
i
o
d
s
an
d
th
e
u
s
e
o
f
d
em
a
n
d
r
esp
o
n
s
e
p
r
o
g
r
am
s
f
o
r
b
ala
n
cin
g
lo
a
d
an
d
r
ed
u
cin
g
lo
s
s
es.
-
Vo
ltag
e
r
eg
u
latio
n
:
Vo
ltag
e
r
eg
u
latio
n
p
r
ac
tices
to
m
ain
tai
n
v
o
lta
g
e
with
in
s
p
ec
if
ied
lim
its
,
allo
win
g
f
o
r
a
r
ed
u
ctio
n
in
r
esis
tiv
e
lo
s
s
es.
-
Po
wer
f
ac
to
r
im
p
r
o
v
e
m
en
t
:
I
n
s
tallatio
n
o
f
p
o
we
r
f
ac
to
r
co
r
r
ec
tio
n
d
e
v
ices
to
im
p
r
o
v
e
t
h
e
p
o
wer
f
ac
to
r
an
d
r
ed
u
ce
r
ea
ctiv
e
p
o
wer
lo
s
s
es.
-
E
n
er
g
y
s
to
r
a
g
e
s
y
s
tem
s
:
I
n
teg
r
atin
g
en
er
g
y
s
to
r
ag
e
s
y
s
tem
s
to
s
to
r
e
ex
ce
s
s
en
er
g
y
d
u
r
in
g
p
er
io
d
s
o
f
lo
w
d
em
an
d
a
n
d
r
elea
s
e
it d
u
r
in
g
p
ea
k
d
em
a
n
d
,
s
m
o
o
th
in
g
o
u
t
f
lu
ctu
atio
n
s
an
d
m
i
n
im
izin
g
lo
s
s
es.
-
Hig
h
-
ef
f
icien
cy
tr
an
s
f
o
r
m
er
s
:
T
h
is
in
v
o
lv
es
u
p
g
r
ad
in
g
tr
an
s
f
o
r
m
er
s
to
h
i
g
h
er
ef
f
icien
cy
m
o
d
els
with
th
e
v
iew
to
r
ed
u
ci
n
g
tr
a
n
s
f
o
r
m
er
lo
s
s
es.
-
Dis
tr
ib
u
ted
g
en
er
atio
n
:
I
n
teg
r
atin
g
d
is
p
er
s
ed
g
e
n
er
atio
n
,
in
clu
d
in
g
r
e
n
ewa
b
le
s
o
u
r
ce
s
o
f
en
er
g
y
,
wo
u
ld
h
elp
cu
t th
e
l
o
s
s
es in
tr
an
s
m
is
s
io
n
an
d
d
is
tr
ib
u
tio
n
b
y
p
r
o
d
u
cin
g
p
o
wer
n
ea
r
t
h
e
co
n
s
u
m
e
r
s
.
-
Sm
ar
t
g
r
id
tec
h
n
o
lo
g
ies
:
I
m
p
lem
en
t
s
m
ar
t
g
r
i
d
tech
n
o
lo
g
i
es
with
r
ea
l
-
tim
e
m
o
n
ito
r
in
g
an
d
co
n
tr
o
l
f
o
r
b
etter
m
an
ag
em
en
t o
f
en
er
g
y
f
lo
ws.
-
L
o
s
s
-
awa
r
e
r
o
u
tin
g
in
d
is
tr
ib
u
tio
n
s
y
s
tem
s
:
T
h
e
s
m
ar
t
r
o
u
tin
g
alg
o
r
ith
m
s
will
f
ac
ilit
ate
th
e
b
est
u
s
e
o
f
elec
tr
ical
p
o
wer
d
is
tr
ib
u
tio
n
,
t
h
u
s
r
esu
ltin
g
in
m
i
n
im
al
lo
s
s
in
th
e
d
is
tr
ib
u
tio
n
n
etwo
r
k
.
-
Fau
lt
d
etec
tio
n
an
d
m
ai
n
ten
a
n
ce
:
T
h
is
in
clu
d
es
p
er
io
d
ic
f
au
lt
d
etec
tio
n
in
t
h
e
p
o
wer
s
y
s
tem
,
wh
ich
co
m
p
r
is
es tim
ely
m
ain
ten
an
ce
to
av
o
id
in
ef
f
icien
c
y
an
d
lo
s
s
.
-
Dy
n
am
ic
lin
e
r
atin
g
:
Dy
n
am
i
c
lin
e
r
atin
g
s
y
s
tem
s
th
at
ad
ju
s
t
th
e
ca
r
r
y
in
g
ca
p
ac
ity
o
f
t
r
an
s
m
is
s
io
n
lin
e
s
d
ep
en
d
i
n
g
o
n
r
ea
l
-
tim
e
wea
th
er
an
d
o
p
er
atio
n
al
co
n
d
itio
n
s
.
-
T
r
an
s
m
is
s
io
n
lin
e
d
esig
n
ef
f
icien
cy
:
T
r
an
s
m
is
s
io
n
lin
es
s
h
all
b
e
d
esig
n
e
d
to
o
p
tim
ize
co
n
d
u
cto
r
s
ize,
in
s
u
latio
n
,
an
d
r
o
u
tin
g
f
o
r
m
in
im
u
m
r
esis
tiv
e
lo
s
s
es.
-
Ad
v
an
ce
d
m
eter
in
g
an
d
m
o
n
i
to
r
in
g
:
Ad
v
an
ce
d
m
eter
i
n
g
i
n
f
r
astru
ctu
r
e
i
n
s
tallatio
n
will
b
e
ac
co
m
p
a
n
ied
b
y
m
o
n
ito
r
in
g
s
y
s
tem
s
ca
p
ab
le
o
f
d
etec
tin
g
lo
s
s
es a
n
d
in
ef
f
i
cien
cies in
r
ea
l
-
tim
e.
-
Pre
d
ictiv
e
an
aly
tics
:
Pre
d
ictiv
e
an
aly
tics
,
wh
ich
m
ak
es
it
p
o
s
s
ib
le
to
f
o
r
ec
ast
th
e
co
n
d
itio
n
s
lead
in
g
to
th
e
p
o
wer
lo
s
s
es a
n
d
tak
e
p
r
o
ac
tiv
e
s
tep
s
to
war
d
s
p
r
ev
en
tin
g
th
e
m
.
-
E
n
er
g
y
-
ef
f
icien
cy
co
m
p
o
n
e
n
ts
:
I
n
s
tallatio
n
o
f
en
er
g
y
ef
f
i
cien
cy
d
ev
ices
an
d
elem
en
ts
in
th
e
p
o
wer
s
y
s
tem
,
s
u
ch
as e
f
f
icien
t m
o
to
r
s
an
d
tr
an
s
f
o
r
m
er
s
.
T
h
e
co
m
b
in
atio
n
o
f
th
e
m
en
ti
o
n
ed
tech
n
iq
u
es,
co
n
s
id
er
i
n
g
th
e
s
p
ec
if
ic
ch
a
r
ac
ter
is
tics
o
f
th
e
p
o
wer
s
y
s
tem
,
ca
n
r
em
a
r
k
ab
ly
co
n
t
r
ib
u
te
t
o
p
o
wer
lo
s
s
m
in
im
izatio
n
an
d
s
ig
n
if
ican
tly
im
p
r
o
v
e
th
e
o
v
er
all
ef
f
icien
cy
o
f
th
e
s
y
s
tem
[
7
]
.
2.
M
E
T
H
O
D
2
.
1
.
Appro
a
ches f
o
r
pla
nn
ing
a
nd
o
pera
t
ing
inv
o
lv
e
m
et
ho
do
lo
g
ies f
o
r
net
wo
r
k
re
co
nfig
ura
t
io
n
T
h
e
ap
p
r
o
ac
h
es
h
av
e
b
ee
n
a
d
o
p
ted
f
o
r
th
e
p
lan
n
in
g
an
d
o
p
er
atio
n
o
f
d
is
tr
ib
u
tio
n
n
et
wo
r
k
s
h
av
e
b
ee
n
s
ev
er
al.
T
h
e
s
ec
tio
n
p
r
o
v
id
es
d
i
f
f
er
en
t
tech
n
iq
u
es
o
n
m
eth
o
d
o
lo
g
ies
o
f
n
etwo
r
k
r
ec
o
n
f
ig
u
r
atio
n
,
ca
p
ac
ito
r
allo
ca
tio
n
,
d
is
tr
ib
u
ted
g
en
e
r
atio
n
(
DG)
,
an
d
d
is
tr
ib
u
tio
n
s
tatic
s
y
n
ch
r
o
n
o
u
s
co
m
p
en
s
ato
r
(
DSTA
T
C
OM
)
f
o
r
th
e
p
lan
n
i
n
g
an
d
o
p
e
r
atio
n
o
f
d
is
tr
ib
u
tio
n
s
y
s
tem
s
.
2
.
2
.
Ca
pa
ci
t
o
r
a
llo
c
a
t
io
n
C
ap
ac
ito
r
allo
ca
tio
n
r
e
f
er
s
t
o
th
e
s
tr
ateg
ic
p
lace
m
en
t
a
n
d
o
p
tim
izatio
n
o
f
ca
p
ac
ito
r
s
with
in
an
elec
tr
ical
p
o
wer
s
y
s
tem
.
T
h
i
s
p
r
o
ce
s
s
in
v
o
lv
es
d
eter
m
in
i
n
g
th
e
m
o
s
t
ef
f
ec
tiv
e
lo
ca
ti
o
n
s
f
o
r
in
s
tallin
g
ca
p
ac
ito
r
s
in
o
r
d
e
r
to
en
h
an
ce
p
o
wer
f
ac
to
r
co
r
r
ec
tio
n
,
im
p
r
o
v
e
v
o
ltag
e
r
eg
u
latio
n
,
an
d
r
e
d
u
ce
o
v
e
r
all
p
o
wer
lo
s
s
es.
T
h
e
g
o
al
o
f
ca
p
ac
ito
r
allo
ca
tio
n
is
to
o
p
tim
ize
t
h
e
d
is
tr
ib
u
tio
n
o
f
ca
p
ac
itiv
e
r
e
ac
tiv
e
p
o
wer
in
th
e
n
etwo
r
k
,
lead
i
n
g
to
im
p
r
o
v
ed
en
er
g
y
e
f
f
icien
cy
a
n
d
e
n
h
an
ce
d
s
y
s
tem
p
er
f
o
r
m
an
ce
.
C
ap
ac
ito
r
allo
ca
tio
n
is
th
e
s
tr
ateg
y
o
f
p
lacin
g
ca
p
ac
ito
r
s
at
s
elec
ted
p
o
in
ts
in
th
e
p
o
wer
d
is
tr
ib
u
tio
n
s
y
s
tem
to
ac
h
iev
e:
-
Po
wer
f
ac
to
r
co
r
r
ec
tio
n
:
I
m
p
r
o
v
e
p
o
wer
f
ac
to
r
b
y
c
an
ce
lin
g
o
u
t
in
d
u
ctiv
e
lo
ad
s
,
wh
ich
wo
u
ld
s
u
b
s
eq
u
en
tly
r
e
d
u
ce
r
ea
ctiv
e
p
o
wer
d
em
a
n
d
a
n
d
im
p
r
o
v
e
th
e
ef
f
icien
cy
o
f
th
e
o
v
er
all
s
y
s
tem
.
-
Vo
ltag
e
r
eg
u
latio
n
:
Stab
ilize
th
e
v
o
ltag
e
lev
els
in
a
way
t
h
at
m
ain
tain
s
th
em
with
in
ac
ce
p
tab
le
lim
its
with
o
u
t c
au
s
in
g
v
o
ltag
e
f
lu
ct
u
atio
n
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
2
,
J
u
n
e
20
25
:
7
1
0
-
7
1
8
712
-
L
o
s
s
mi
n
im
izatio
n
:
R
ed
u
ce
r
esis
tiv
e
lo
s
s
e
s
in
d
is
tr
ib
u
tio
n
to
a
n
eg
lig
ib
le
lev
el
b
y
lo
wer
in
g
th
e
f
l
o
w
in
r
ea
ctiv
e
p
o
wer
,
th
en
ce
o
p
tim
i
zin
g
an
d
im
p
r
o
v
in
g
p
o
wer
-
f
ac
to
r
.
-
C
ap
ac
ity
r
elea
s
e:
T
h
is
will
o
p
tim
ize
th
e
u
s
e
o
f
e
x
is
tin
g
i
n
f
r
astru
ctu
r
e
b
y
f
r
ee
in
g
u
p
tr
an
s
m
is
s
io
n
an
d
d
is
tr
ib
u
tio
n
s
y
s
tem
ca
p
ac
ity
,
e
n
ab
lin
g
in
c
r
ea
s
ed
lo
ad
-
ca
r
r
y
in
g
ca
p
ac
ity
.
-
E
n
er
g
y
co
n
s
er
v
atio
n
:
Sav
e
en
er
g
y
b
y
in
c
r
ea
s
in
g
e
f
f
icie
n
cy
in
th
e
tr
an
s
m
is
s
io
n
a
n
d
d
is
tr
ib
u
tio
n
o
f
elec
tr
icity
,
th
er
eb
y
r
ed
u
ci
n
g
e
n
er
g
y
l
o
s
s
es.
T
h
e
allo
ca
tio
n
o
f
ca
p
ac
ito
r
s
i
n
a
n
etwo
r
k
h
as
to
b
e
a
v
er
y
cr
itical
an
aly
s
is
d
u
e
to
th
e
ch
ar
ac
ter
is
tics
o
f
lo
ad
,
p
o
we
r
f
ac
to
r
r
eq
u
ir
e
m
en
ts
,
an
d
c
o
n
f
ig
u
r
atio
n
s
o
f
th
e
s
y
s
tem
.
Ad
v
an
ce
d
o
p
tim
izatio
n
alg
o
r
ith
m
s
co
u
p
led
with
s
im
u
latio
n
to
o
ls
ca
n
b
e
u
s
ed
in
th
e
id
en
tific
atio
n
o
f
o
p
tim
u
m
lo
ca
tio
n
s
f
o
r
th
e
in
s
tallatio
n
o
f
ca
p
ac
ito
r
s
b
y
co
n
s
id
er
i
n
g
t
h
e
d
y
n
am
ics
o
f
th
e
p
o
wer
s
y
s
tem
s
.
T
h
er
ef
o
r
e,
ca
p
ac
ito
r
allo
ca
ti
o
n
is
an
ex
tr
em
el
y
im
p
o
r
tan
t
asp
ec
t
o
f
p
o
wer
s
y
s
tem
p
lan
n
in
g
an
d
o
p
tim
izatio
n
,
wh
ich
f
ails
in
im
p
r
o
v
in
g
th
e
g
en
er
al
ef
f
icien
cy
,
r
eliab
ilit
y
,
an
d
p
er
f
o
r
m
a
n
ce
o
f
th
e
d
is
tr
ib
u
tio
n
n
etwo
r
k
.
T
h
e
ev
o
lu
tio
n
o
f
tech
n
iq
u
es
f
o
r
ca
p
ac
ito
r
allo
ca
tio
n
is
p
r
esen
ted
in
T
ab
le
1
.
T
ab
le
1
.
E
v
o
lu
tio
n
in
ca
p
ac
ito
r
allo
ca
tio
n
tech
n
iq
u
es
A
u
t
h
o
r
,
y
e
a
r
[
r
e
f
]
O
p
t
i
mi
z
a
t
i
o
n
a
p
p
r
o
a
c
h
e
s
O
b
j
e
c
t
i
v
e
(
s)
t
y
p
e
B
a
si
c
p
r
i
n
c
i
p
l
e
/
o
b
j
e
c
t
i
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RE
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Evaluation Warning : The document was created with Spire.PDF for Python.
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1
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L.
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2
8
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T.
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S O
F
AUTH
O
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Is
m
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M
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fi
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a
P
h
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stu
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t
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telli
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a
c
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S
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Tec
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g
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M
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m
m
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Be
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Ab
d
a
ll
a
h
U
n
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e
rsity
.
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re
se
a
rc
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tere
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in
c
l
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d
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th
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u
c
ti
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k
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,
p
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m
o
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ri
v
e
s,
a
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d
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n
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wa
b
le
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rg
y
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Ism
a
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h
a
d
a
M
a
ste
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tro
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n
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th
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m
m
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d
Be
n
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d
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ll
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h
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o
f
F
e
z
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
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:
ism
a
il
.
m
o
u
f
id
@u
sm
b
a
.
a
c
.
m
a
.
Zin
e
b
En
-
n
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y
re
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e
d
th
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g
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r
d
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re
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in
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tri
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g
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Re
n
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rg
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fr
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th
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ti
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f
A
p
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S
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c
e
s
o
f
I
b
n
To
fa
il
Un
i
v
e
rsity
,
Ke
n
it
ra
,
i
n
2
0
1
9
.
S
h
e
is
c
u
rre
n
t
ly
a
P
h
.
D
.
st
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d
e
n
t
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lec
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En
g
in
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g
(In
telli
g
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n
t
S
y
ste
m
s
,
G
e
o
so
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rc
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s
a
n
d
Re
n
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wa
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le
En
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y
la
b
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ra
to
ry
)
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F
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lt
y
o
f
S
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Tec
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l
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o
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M
o
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a
m
m
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ll
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h
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n
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rsit
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.
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r
re
se
a
rc
h
in
tere
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in
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lu
d
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th
e
field
o
f
p
o
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r
sy
ste
m
s,
re
n
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wa
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n
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rg
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,
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n
d
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rti
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telli
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e
.
Sh
e
c
a
n
b
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c
o
n
tac
ted
a
t
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m
a
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:
z
in
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b
.
e
n
n
a
y
@u
sm
b
a
.
a
c
.
m
a
.
S
o
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k
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in
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m
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g
re
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lec
tri
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l
En
g
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n
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e
rin
g
Op
ti
o
n
El
e
c
tro
n
ics
,
S
ig
n
a
ls,
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n
d
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t
o
m
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ted
S
y
ste
m
s
fro
m
t
h
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l
ty
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h
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d
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M
o
h
a
m
m
e
d
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n
A
b
d
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ll
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h
Un
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h
e
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w
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P
h
.
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stu
d
e
n
t
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t
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n
telli
g
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n
t
S
y
ste
m
s
G
e
o
re
ss
o
u
rc
e
s
a
n
d
Re
n
e
wa
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le
En
e
r
g
y
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o
ra
t
o
ry
(S
I
G
ER)
o
f
th
e
F
a
c
u
lt
y
o
f
S
c
ien
c
e
a
n
d
Tec
h
n
o
l
o
g
ies
o
f
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id
i
M
o
h
a
m
m
e
d
Be
n
A
b
d
a
ll
a
h
Un
iv
e
rsity
.
He
r
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
p
o
we
r
e
lec
tro
n
ics
,
m
o
to
r
d
riv
e
s,
a
n
d
re
n
e
wa
b
le
e
n
e
rg
y
.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
so
u
k
a
in
a
.
n
a
c
ir
i@u
sm
b
a
.
a
c
.
m
a
.
H
a
ss
a
n
e
El
Ma
r
k
h
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re
c
e
iv
e
d
th
e
e
n
g
i
n
e
e
rin
g
d
e
g
re
e
in
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
fro
m
Ha
ss
a
n
II
Un
iv
e
rsity
,
Ca
s
a
b
lan
c
a
,
in
1
9
9
5
.
He
re
c
e
iv
e
d
h
is
P
h
.
D.
d
e
g
re
e
i
n
fa
u
lt
lo
c
a
ti
o
n
in
e
lec
tri
c
a
l
p
o
we
r
d
ist
rib
u
ti
o
n
sy
ste
m
s
a
n
d
imp
r
o
v
e
m
e
n
t
o
f
a
g
ri
d
-
in
teg
ra
ted
DFIG
-
b
a
se
d
win
d
tu
rb
i
n
e
sy
ste
m
fro
m
S
id
i
M
o
h
a
m
e
d
Be
n
Ab
d
e
ll
a
h
Un
i
v
e
rsity
,
F
e
z
,
in
2
0
1
5
.
He
is
c
u
rre
n
t
ly
a
p
r
o
fe
ss
o
r
i
n
t
h
e
De
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
En
g
i
n
e
e
rin
g
with
th
e
F
a
c
u
lt
y
o
f
S
c
ien
c
e
a
n
d
Tec
h
n
o
l
o
g
y
,
F
e
z
(M
o
ro
c
c
o
)
.
His
m
a
in
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
sm
a
rt
g
rid
,
fa
u
lt
l
o
c
a
ti
o
n
,
a
n
d
r
e
n
e
wa
b
le
e
n
e
rg
y
s
y
ste
m
s.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
h
a
ss
a
n
e
.
e
lma
rk
h
i@u
sm
b
a
.
a
c
.
m
a
.
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