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[
1
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[
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[
5
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.
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s
in
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[
6
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,
[
7
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p
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[
8
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Mi
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U
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.
T
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[
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Sep
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20
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6
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o
n
p
e
r
i
o
d
(
T
u
)
.
T
h
ese
v
alu
es
ar
e
u
s
e
d
as
i
n
iti
all
y
t
u
n
ed
p
ar
a
m
et
er
s
,
a
n
d
f
u
r
t
h
er
a
d
j
u
s
t
m
e
n
ts
a
r
e
n
ee
d
ed
t
o
f
u
l
f
ill
t
h
e
c
o
n
t
r
o
l
r
e
q
u
i
r
e
m
e
n
ts
s
ta
te
d
b
y
th
e
g
r
i
d
[
1
0
]
.
I
n
p
r
e
v
io
u
s
r
esear
ch
,
a
n
au
to
m
ated
alg
o
r
ith
m
was
d
ev
elo
p
ed
to
g
en
e
r
ate
s
y
n
th
etic
ca
s
es
f
o
r
s
tead
y
-
s
tate
p
o
wer
f
lo
w
a
n
aly
s
is
[
1
3
]
-
[
1
8
]
a
n
d
d
y
n
a
m
ic
p
o
wer
f
lo
w
an
aly
s
is
[
1
9
]
-
[
2
2
]
.
T
h
is
alg
o
r
ith
m
aim
e
d
to
ca
p
tu
r
e
th
e
c
o
m
p
lex
ity
o
f
m
o
d
er
n
elec
tr
ic
g
r
id
s
.
Ho
we
v
er
,
u
tili
zin
g
ac
tu
al
n
etwo
r
k
d
ata,
p
er
f
o
r
m
a
n
ce
cr
iter
ia,
an
d
co
n
s
tr
ain
ts
in
d
y
n
am
ic
m
o
d
elin
g
ca
n
y
ield
m
o
r
e
r
ea
lis
tic
an
d
in
s
ig
h
tf
u
l
s
im
u
latio
n
r
esu
lts
.
T
h
er
ef
o
r
e,
th
is
r
esear
ch
p
a
p
er
aim
s
to
en
h
an
ce
th
e
u
n
d
er
s
tan
d
in
g
o
f
ex
citer
an
d
g
o
v
er
n
o
r
co
n
tr
o
l
in
co
m
b
in
ed
-
cy
cle
p
o
wer
p
lan
ts
,
wh
ile
p
r
o
v
id
in
g
p
r
ac
tical
g
u
i
d
elin
es
f
o
r
m
o
d
elin
g
,
tu
n
in
g
,
an
d
v
alid
atin
g
th
ese
s
y
s
tem
s
.
T
o
ac
h
iev
e
th
is
,
we
e
m
p
lo
y
r
ea
l m
ea
s
u
r
em
en
t d
ata
to
m
o
d
el
b
o
th
th
e
ex
citer
an
d
g
en
er
ato
r
an
d
f
in
e
-
tu
n
e
th
eir
co
n
t
r
o
llab
le
p
ar
a
m
e
ter
s
to
en
s
u
r
e
co
m
p
lian
ce
wit
h
th
e
r
eq
u
i
r
em
en
ts
o
f
ac
tu
al
g
r
id
s
.
Su
b
s
eq
u
en
tly
,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
v
alid
a
ted
th
r
o
u
g
h
a
s
er
ies
o
f
s
im
u
la
tio
n
s
co
n
d
u
cted
i
n
MA
T
L
AB
an
d
Simu
lin
k
.
T
h
e
r
esu
lts
d
em
o
n
s
tr
ate
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
'
s
ef
f
ec
tiv
en
ess
in
m
ain
tain
in
g
s
tab
le
an
d
ef
f
icien
t
o
p
e
r
atio
n
o
f
th
e
p
o
wer
p
lan
t.
Fu
r
th
er
m
o
r
e,
t
h
is
m
eth
o
d
ca
n
b
e
r
ea
d
ily
a
p
p
lied
to
v
ar
io
u
s
p
o
wer
p
la
n
ts
,
as
it
ex
p
lo
r
es
all
p
er
m
is
s
ib
le
r
an
g
es o
f
c
o
n
tr
o
l
p
ar
am
eter
s
to
o
p
tim
ize
s
y
s
tem
p
er
f
o
r
m
an
ce
.
T
h
e
r
em
ain
in
g
s
ec
tio
n
s
o
f
th
is
ar
ticle
ar
e
as
f
o
llo
ws:
i)
Secti
o
n
2
g
iv
es
an
o
v
e
r
v
iew
o
f
th
e
c
o
m
b
in
ed
cy
cle
p
o
wer
p
la
n
t
(
C
C
PP
)
,
in
clu
d
in
g
g
en
er
ato
r
ch
ar
ac
te
r
is
tics
,
s
elec
ted
d
y
n
am
ic
m
o
d
els,
an
d
n
etwo
r
k
to
p
o
lo
g
y
; ii)
Sectio
n
3
d
escr
ib
es th
e
m
eth
o
d
o
l
o
g
ical
ap
p
r
o
ac
h
f
o
r
m
o
d
elin
g
,
tu
n
i
n
g
,
a
n
d
v
a
lid
atin
g
th
e
ex
citer
an
d
g
o
v
er
n
o
r
s
y
s
tem
s
;
iii)
Sectio
n
4
p
r
esen
ts
an
d
d
is
cu
s
s
es
th
e
r
esu
lts
o
b
tain
ed
f
r
o
m
a
s
im
u
latio
n
i
n
MA
T
L
AB
an
d
Simu
lin
k
to
ass
es
s
th
e
s
y
s
tem
'
s
p
er
f
o
r
m
a
n
ce
;
an
d
iv
)
Fin
ally
,
s
ec
tio
n
5
estab
lis
h
es
th
e
co
n
clu
s
io
n
d
e
r
iv
ed
f
r
o
m
th
is
s
tu
d
y
,
f
o
llo
wed
b
y
th
e
r
ec
o
m
m
en
d
atio
n
f
o
r
f
u
tu
r
e
w
o
r
k
.
2.
M
E
T
H
O
D
Mo
d
elin
g
t
h
e
co
m
b
in
ed
-
cy
cle
p
o
wer
p
lan
t
in
v
o
l
v
es
d
ev
elo
p
in
g
m
ath
em
atica
l
m
o
d
els
r
e
p
r
esen
tin
g
th
e
r
elatio
n
s
h
ip
s
b
etwe
en
in
p
u
t
an
d
o
u
tp
u
t
v
ar
ia
b
les,
s
u
ch
as
g
en
er
ato
r
s
p
ee
d
,
elec
tr
ical
lo
ad
,
an
d
f
u
el
f
lo
w.
T
h
ese
m
o
d
els
ca
n
b
e
u
s
ed
to
p
r
ed
ict
th
e
s
y
s
tem
's
p
er
f
o
r
m
an
ce
u
n
d
er
d
i
f
f
er
en
t
o
p
er
atin
g
co
n
d
itio
n
s
an
d
to
d
esig
n
co
n
tr
o
l
alg
o
r
ith
m
s
th
at
ca
n
m
ain
tain
s
tab
le
a
n
d
e
f
f
icien
t
o
p
e
r
atio
n
.
T
h
e
tu
n
in
g
p
r
o
c
ess
in
v
o
lv
es
ad
ju
s
tin
g
th
e
p
ar
am
eter
s
o
f
t
h
e
co
n
t
r
o
l
alg
o
r
ith
m
s
to
ac
h
iev
e
th
e
d
esire
d
p
e
r
f
o
r
m
an
ce
.
T
h
is
co
n
s
is
ts
o
f
ad
ju
s
tin
g
th
e
g
ain
s
an
d
o
th
e
r
p
ar
am
ete
r
s
o
f
t
h
e
co
n
tr
o
l
alg
o
r
ith
m
s
to
o
p
tim
ize
th
e
s
y
s
tem
's
r
esp
o
n
s
e
t
o
ch
an
g
es
in
l
o
ad
o
r
o
t
h
er
v
ar
i
ab
les.
T
h
e
v
alid
atio
n
p
r
o
ce
s
s
in
v
o
lv
es
test
in
g
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
co
n
tr
o
l
alg
o
r
ith
m
s
u
n
d
e
r
a
r
an
g
e
o
f
o
p
er
atin
g
c
o
n
d
itio
n
s
to
en
s
u
r
e
th
at
th
ey
f
u
n
ctio
n
as
in
ten
d
ed
an
d
m
ee
t
th
e
r
eq
u
ir
ed
p
er
f
o
r
m
an
ce
s
p
ec
if
icatio
n
s
.
T
h
e
s
wee
p
al
g
o
r
ith
m
is
u
s
ed
f
o
r
t
u
n
in
g
th
e
co
n
tr
o
l
p
ar
am
et
er
s
o
f
a
p
r
o
p
o
r
tio
n
al
-
in
teg
r
al
-
d
er
iv
ativ
e
(
PID
)
co
n
tr
o
ller
an
d
in
v
o
lv
es
s
y
s
tem
atica
lly
v
ar
y
in
g
th
e
v
al
u
es
o
f
th
e
co
n
tr
o
ller
'
s
,
,
an
d
p
ar
am
eter
s
o
v
er
a
r
an
g
e
o
f
v
alu
es
an
d
ev
alu
atin
g
th
e
s
y
s
tem
's
p
er
f
o
r
m
an
ce
f
o
r
ea
ch
s
et
o
f
p
ar
am
eter
v
alu
es.
T
h
is
allo
w
s
th
e
d
esig
n
er
to
i
d
en
tify
t
h
e
o
p
tim
al
co
m
b
in
atio
n
o
f
,
,
an
d
v
alu
es
th
at
g
iv
e
th
e
b
est
p
e
r
f
o
r
m
an
ce
f
o
r
th
e
s
y
s
tem
.
T
o
u
s
e
th
e
s
wee
p
alg
o
r
ith
m
m
eth
o
d
,
t
h
e
f
o
llo
wi
n
g
s
tep
s
ar
e
ty
p
ically
f
o
llo
wed
:
-
I
d
en
tify
t
h
e
g
o
v
er
n
o
r
m
o
d
el
a
n
d
ex
citer
m
o
d
el
;
-
Mo
d
el
th
e
d
esire
d
c
o
n
tr
o
l lo
o
p
in
Simu
lin
k
;
-
Ad
d
s
win
g
eq
u
atio
n
m
o
d
el
a
f
ter
m
ec
h
an
ical
p
o
wer
o
u
t
p
u
t
(
g
o
v
e
r
n
o
r
)
o
r
a
d
d
g
e
n
er
ato
r
m
o
d
el
(
e
x
citer
s
y
s
tem
)
;
-
Ob
tain
th
e
s
tate
s
p
ac
e
eq
u
atio
n
o
f
th
e
m
o
d
f
u
n
ctio
n
in
MA
T
L
AB
;
-
C
o
n
v
er
t th
e
s
tate
s
p
ac
e
m
o
d
el
to
th
e
tr
an
s
f
er
f
u
n
ctio
n
;
-
Ob
tain
a
B
o
d
e
p
lo
t a
n
d
r
o
o
t lo
cu
s
u
s
in
g
th
e
SISOT
OOL
f
u
n
ctio
n
in
MA
T
L
AB
; a
n
d
-
Ob
tain
g
ain
m
ar
g
in
(
Gm
)
,
p
h
a
s
e
m
ar
g
in
(
Pm
)
,
a
n
d
o
s
cillatio
n
f
r
eq
u
en
cy
,
an
d
p
er
f
o
r
m
a
p
a
r
am
eter
s
wee
p
f
o
r
tu
n
i
n
g
.
2
.
1
.
M
o
delin
g
,
t
un
ing
,
a
nd
v
a
lid
a
t
io
n o
f
t
he
ex
cit
er
s
y
s
t
em
Fig
u
r
e
1
o
u
tlin
es
th
e
m
ain
s
tep
s
to
as
s
ess
ex
citer
s
tab
ili
t
y
an
d
tu
n
e
ex
citer
p
ar
am
eter
s
.
E
x
citer
s
tab
ilit
y
was e
v
alu
ated
in
b
o
th
tim
e
an
d
f
r
e
q
u
en
c
y
d
o
m
ain
s
with
th
e
s
y
n
ch
r
o
n
o
u
s
m
ac
h
in
e
o
p
en
-
cir
c
u
ited
an
d
o
p
er
atin
g
at
t
h
e
r
ated
s
p
ee
d
.
T
im
e
-
an
d
f
r
eq
u
en
cy
-
d
o
m
ai
n
ch
ar
ac
ter
is
tics
wer
e
d
er
iv
e
d
d
ir
ec
tly
f
r
o
m
th
e
tr
an
s
f
er
f
u
n
ctio
n
s
o
b
tain
e
d
th
r
o
u
g
h
ex
ac
t
m
o
d
el
lin
ea
r
iza
tio
n
ab
o
u
t
th
e
o
p
er
atin
g
p
o
i
n
t.
E
x
citer
s
tab
ilit
y
cr
iter
ia
ar
e
ass
u
m
ed
to
f
o
llo
w
I
E
E
E
g
u
id
elin
es,
as illu
s
tr
ated
in
T
ab
le
1
.
Fig
u
r
e
s
2
an
d
3
ill
u
s
tr
ate
th
e
E
XAC1
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
Mo
d
elin
g
,
tu
n
i
n
g
,
a
n
d
v
a
lid
a
ti
n
g
o
f e
xc
iter
a
n
d
g
o
ve
r
n
o
r
in
co
mb
in
ed
-
cy
cle
…
(
S
a
leh
B
a
-
s
w
a
imi
)
1647
an
d
AC
7
B
m
o
d
els,
r
esp
ec
tiv
ely
,
in
th
e
MA
T
L
AB
/S
im
u
lin
k
en
v
ir
o
n
m
en
t,
an
d
th
e
m
o
d
els
wer
e
d
ev
elo
p
ed
b
ased
o
n
th
e
b
lo
ck
d
iag
r
a
m
s
p
r
o
v
id
ed
in
[
23]
-
[
2
5
]
.
2
.
2
.
G
o
v
er
no
r
m
o
delin
g
,
t
u
nin
g
,
a
nd
v
a
lid
a
t
io
n
Fig
u
r
e
4
o
u
tlin
es
th
e
m
ain
s
tep
s
to
ass
es
s
g
o
v
er
n
o
r
s
tab
ilit
y
an
d
tu
n
e
g
o
v
er
n
o
r
p
ar
am
eter
s
if
r
eq
u
ir
ed
.
Go
v
er
n
o
r
s
tab
ilit
y
was
ev
alu
ated
i
n
b
o
th
tim
e
an
d
f
r
eq
u
e
n
cy
d
o
m
ain
s
,
wit
h
th
e
s
y
n
ch
r
o
n
o
u
s
m
ac
h
in
e
o
p
er
atin
g
at
8
0
%
lo
ad
in
g
a
n
d
th
e
r
ated
s
p
ee
d
.
As
th
e
ex
ac
t
m
o
d
el
lin
ea
r
izatio
n
m
eth
o
d
was
n
o
t
f
ea
s
ib
le,
f
r
eq
u
en
c
y
-
d
o
m
ain
c
h
ar
ac
ter
is
tics
wer
e
es
tim
ated
b
y
ex
citin
g
th
e
m
o
d
el
with
s
in
e
-
s
tr
ea
m
s
ig
n
al
s
af
ter
o
p
e
n
in
g
t
h
e
g
o
v
er
n
o
r
s
p
ee
d
/f
r
eq
u
en
cy
f
ee
d
b
ac
k
lo
o
p
.
I
n
co
n
tr
ast,
tim
e
-
d
o
m
ain
ch
ar
ac
ter
is
tics
wer
e
ca
lcu
lated
f
r
o
m
s
im
u
latio
n
s
with
+5
%
s
tep
lo
ad
ch
a
n
g
es.
T
h
e
d
am
p
in
g
r
atio
was
ap
p
r
o
x
im
ated
u
s
in
g
(
1
)
,
ass
u
m
in
g
th
e
s
y
s
tem
b
eh
av
es
lik
e
a
s
ec
o
n
d
-
o
r
d
er
s
y
s
tem
.
Go
v
er
n
o
r
s
tab
ilit
y
cr
iter
ia
ar
e
s
u
p
p
o
s
ed
to
f
o
llo
w
I
E
E
E
g
u
id
elin
es,
as
illu
s
tr
ate
d
in
T
ab
le
2
.
T
h
e
s
win
g
eq
u
atio
n
s
o
n
ly
m
o
d
eled
th
e
s
y
n
ch
r
o
n
o
u
s
m
ac
h
in
e
d
y
n
am
ics
f
o
r
th
is
p
u
r
p
o
s
e.
Fig
u
r
e
s
5
an
d
6
illu
s
tr
ate
th
e
GGOV
1
an
d
HR
S
G
m
o
d
els,
r
esp
ec
tiv
ely
,
in
th
e
MA
T
L
AB
/S
im
u
lin
k
en
v
ir
o
n
m
en
t.
T
h
e
GGOV
1
m
o
d
el
wa
s
d
ev
elo
p
ed
b
ased
o
n
th
e
b
lo
c
k
d
iag
r
a
m
s
p
r
o
v
id
ed
in
[
2
4
]
,
[
2
8
]
,
wh
ile
th
e
HR
SG
m
o
d
el
was
d
ev
elo
p
ed
u
s
in
g
th
e
p
r
o
v
id
e
d
m
a
n
u
f
ac
tu
r
er
d
ata.
Fo
r
s
tab
ilit
y
an
aly
s
is
p
u
r
p
o
s
es,
o
n
l
y
th
e
s
p
ee
d
/f
r
eq
u
e
n
cy
a
n
d
lo
a
d
co
n
tr
o
l p
ath
s
wer
e
m
o
d
ele
d
.
=
√
2
(
OS
)
2
+
2
(
OS
)
(
1
)
Fig
u
r
e
1
.
Flo
wch
ar
t
o
f
e
x
citer
s
tab
ilit
y
s
tu
d
y
/tu
n
in
g
p
r
o
ce
s
s
T
ab
le
1
.
E
x
citer
s
tab
ilit
y
cr
iter
ia
[
2
6
]
,
[
2
7
]
C
r
i
t
e
r
i
a
V
a
l
u
e
C
r
i
t
e
r
i
a
V
a
l
u
e
G
a
i
n
mar
g
i
n
(
)
≥
6
d
B
D
a
mp
i
n
g
r
a
t
i
o
(
ζ
)
≥
0
.
6
P
h
a
se
mar
g
i
n
(
P
m
)
≥
4
0
°
R
i
se
t
i
me
(
t
r
)
0
.
0
2
5
t
o
0
.
6
s
O
v
e
r
sh
o
o
t
(
O
S
)
0
–
1
5
%
B
a
n
d
w
i
d
t
h
(
F
B
)
0
.
3
t
o
5
H
z
P
e
a
k
a
m
p
l
i
t
u
d
e
r
e
sp
o
n
se
(
M
p
)
0
.
8
3
t
o
4
d
B
S
e
t
t
l
i
n
g
t
i
me
w
i
t
h
i
n
5
%
(
t
s)
0
.
2
t
o
3
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
.
3
,
Sep
tem
b
er
20
25
:
1645
-
1
6
5
7
1648
Fig
u
r
e
2
.
E
XAC1
m
o
d
el
in
M
AT
L
AB
/Si
m
u
lin
k
Fig
u
r
e
3
.
AC
7
B
m
o
d
el
in
MA
T
L
AB
/Si
m
u
lin
k
Fig
u
r
e
4
.
Flo
wch
ar
t
o
f
g
o
v
er
n
o
r
s
tab
ilit
y
s
tu
d
y
/tu
n
in
g
p
r
o
ce
s
s
D
e
v
e
l
op
t
h
e
m
od
e
l
s
i
n
M
A
T
L
A
B/
S
i
m
u
l
i
n
k
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
Mo
d
elin
g
,
tu
n
i
n
g
,
a
n
d
v
a
lid
a
ti
n
g
o
f e
xc
iter
a
n
d
g
o
ve
r
n
o
r
in
co
mb
in
ed
-
cy
cle
…
(
S
a
leh
B
a
-
s
w
a
imi
)
1649
T
ab
le
2
.
Go
v
er
n
o
r
s
tab
ilit
y
cr
i
ter
ia
[
2
9
]
C
r
i
t
e
r
i
a
V
a
l
u
e
C
r
i
t
e
r
i
a
V
a
l
u
e
G
a
i
n
mar
g
i
n
(
)
≥
3
d
B
D
a
mp
i
n
g
r
a
t
i
o
(
ζ
)
0
.
6
t
o
1
.
0
P
h
a
se
mar
g
i
n
(
P
m
)
≥
4
0
°
R
i
se
t
i
me
(
t
r
)
1
t
o
2
5
s
O
v
e
r
sh
o
o
t
(
O
S
)
0
–
4
0
%
B
a
n
d
w
i
d
t
h
(
F
B
)
0
.
0
3
t
o
1
H
z
P
e
a
k
a
m
p
l
i
t
u
d
e
r
e
sp
o
n
se
(
M
p
)
0
.
8
3
t
o
4
.
0
d
B
S
e
t
t
l
i
n
g
t
i
me
w
i
t
h
i
n
5
%
(
t
s)
2
t
o
1
0
0
s
F
i
g
u
r
e
5
.
GGOV
1
m
o
d
el
in
MA
T
L
AB
/Si
m
u
lin
k
F
i
g
u
r
e
6
.
HR
SG m
o
d
el
in
MA
T
L
AB
/Si
m
u
lin
k
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
.
3
,
Sep
tem
b
er
20
25
:
1645
-
1
6
5
7
1650
3.
CASE
S
T
UD
Y
T
h
e
s
im
u
latio
n
r
esu
lts
p
r
ese
n
ted
in
th
is
s
tu
d
y
ar
e
b
ased
o
n
a
m
o
d
i
f
ied
C
C
PP
in
Ma
lay
s
ia
as
a
r
ep
r
esen
tativ
e
ca
s
e
s
tu
d
y
.
T
h
e
p
lan
t
co
n
f
ig
u
r
atio
n
i
n
clu
d
es
t
wo
g
as
t
u
r
b
in
e
u
n
its
(
GT
G1
a
n
d
GT
G2
)
a
n
d
o
n
e
s
team
tu
r
b
in
e
u
n
it
(
STG3
)
,
as
d
ep
icted
in
Fig
u
r
e
7
.
T
h
ese
co
m
p
o
n
en
ts
ar
e
i
n
ter
co
n
n
ec
te
d
to
f
o
r
m
a
s
in
g
le
p
o
wer
g
e
n
er
atio
n
b
lo
ck
with
in
th
e
p
lan
t.
T
h
e
SG g
en
er
at
o
r
r
atin
g
s
f
o
r
ea
ch
u
n
it a
r
e
as f
o
ll
o
ws:
-
T
h
e
s
team
tu
r
b
in
e
u
n
it
(
STG3
)
is
r
ated
at
1
4
6
.
2
5
MV
A,
o
p
e
r
ates
at
1
3
.
8
k
V,
an
d
h
as
a
p
o
wer
f
ac
to
r
o
f
0
.
8
.
I
t is d
r
iv
en
b
y
a
s
team
tu
r
b
in
e
with
a
n
am
e
p
late
r
atin
g
o
f
1
1
7
MW.
-
T
h
e
g
as
tu
r
b
in
e
u
n
its
(
GT
G1
an
d
GT
G2
)
ar
e
b
o
th
r
ated
at
1
3
4
.
6
2
5
MV
A,
o
p
e
r
ate
at
1
5
k
V,
an
d
h
av
e
a
p
o
wer
f
ac
to
r
o
f
0
.
8
.
T
h
ey
ar
e
d
r
iv
en
b
y
eith
er
n
atu
r
al
g
as o
r
d
is
till
ate
o
il
-
f
ir
ed
tu
r
b
in
es.
Fig
u
r
e
7
.
C
C
PP
s
in
g
le
-
lin
e
d
iag
r
am
T
h
e
d
y
n
am
ic
m
o
d
e
l
s
,
as
s
h
o
wn
in
T
ab
le
3
,
ar
e
s
elec
ted
b
ased
o
n
th
e
s
tr
u
ctu
r
e
o
f
th
e
co
m
b
in
ed
p
o
wer
p
lan
t.
T
h
e
s
elec
tio
n
also
co
n
s
id
er
s
th
e
m
ea
s
u
r
ed
d
ata
o
b
tain
ed
f
r
o
m
th
e
p
lan
t.
I
n
a
d
d
itio
n
,
th
e
m
o
d
els
r
ec
o
m
m
en
d
ed
in
[
1
0
]
f
o
r
d
if
f
e
r
en
t f
u
el
ty
p
es o
r
tech
n
o
lo
g
ies ar
e
u
s
ed
as a
r
ef
e
r
en
ce
.
T
ab
le
3
.
Go
v
er
n
o
r
s
tab
ilit
y
cr
i
ter
ia
[
2
9
]
U
n
i
t
G
TG
1
a
n
d
G
TG
2
S
T3
S
y
n
c
h
r
o
n
o
u
s
g
e
n
e
r
a
t
o
r
G
EN
R
O
U
G
EN
R
O
U
Ex
c
i
t
e
r
EX
A
C
1
A
C
7
B
Tu
r
b
i
n
e
g
o
v
e
r
n
o
r
GGOV1
H
R
S
G
S
t
a
b
i
l
i
z
e
r
P
S
S
1
A
P
S
S
2
B
M
i
n
i
m
u
m
e
x
c
i
t
e
r
mo
d
e
l
U
EL2
U
EL2
M
a
x
i
m
u
m
e
x
c
i
t
e
r
mo
d
e
l
M
A
X
EX
2
M
A
X
EX
2
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
d
escr
ib
es
t
h
e
r
e
s
u
lts
o
f
th
e
p
ar
am
eter
tu
n
in
g
p
r
o
ce
s
s
o
f
a
p
o
wer
s
y
s
tem
m
o
d
el
to
im
p
r
o
v
e
its
p
er
f
o
r
m
a
n
ce
.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
with
in
itial
v
a
lu
es
f
o
r
th
e
m
o
d
el
p
ar
a
m
eter
s
co
llected
f
r
o
m
th
e
p
o
wer
p
lan
t.
T
h
ese
in
itial
v
al
u
es
m
ay
n
o
t
r
esu
lt
in
s
tab
le
b
eh
av
io
r
f
o
r
all
g
en
er
ato
r
s
in
t
h
e
m
o
d
el,
in
wh
ich
ca
s
e
f
u
r
th
er
tu
n
i
n
g
is
m
ad
e
to
th
e
e
x
citer
s
f
o
r
th
o
s
e
g
en
e
r
ato
r
s
.
A
s
et
o
f
c
r
iter
ia
g
u
id
es
t
h
e
tu
n
i
n
g
a
n
d
m
ay
in
v
o
lv
e
tu
n
in
g
th
e
co
n
tr
o
l
s
y
s
tem
's
p
r
o
p
o
r
tio
n
al,
in
teg
r
al,
an
d
d
er
i
v
ativ
e
g
ain
p
ar
am
ete
r
s
.
T
h
e
g
o
al
o
f
th
e
p
r
o
ce
s
s
is
to
o
b
tain
a
s
et
o
f
m
o
d
el
p
ar
am
eter
s
t
h
at
r
esu
l
t
in
s
atis
f
ac
to
r
y
c
o
n
tr
o
l
r
esp
o
n
s
es,
as
lis
ted
in
T
ab
les 2
an
d
3
.
4
.
1
.
T
un
ing
a
nd
s
t
a
bil
it
y
a
na
ly
s
is
o
f
t
he
ex
cit
er
s
y
s
t
em
T
h
e
r
e
la
tiv
e
s
tab
i
li
ty
o
f
a
f
ee
d
b
ac
k
co
n
tr
o
l
s
y
s
te
m
i
s
a
cr
u
c
ia
l
as
p
ec
t
th
at
d
et
e
r
m
in
e
s
it
s
p
er
f
o
r
m
an
c
e
an
d
ef
f
e
ct
iv
e
n
e
s
s
.
I
t
i
s
co
m
m
o
n
ly
ev
a
lu
a
ted
u
s
i
n
g
p
h
a
s
e
m
ar
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
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s
t
I
SS
N:
2088
-
8
6
9
4
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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
.
3
,
Sep
tem
b
er
20
25
:
1645
-
1
6
5
7
1652
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9
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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
Mo
d
elin
g
,
tu
n
i
n
g
,
a
n
d
v
a
lid
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ti
n
g
o
f e
xc
iter
a
n
d
g
o
ve
r
n
o
r
in
co
mb
in
ed
-
cy
cle
…
(
S
a
leh
B
a
-
s
w
a
imi
)
1653
F
i
g
u
r
e
1
1
.
HR
S
G
tu
n
ed
o
p
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-
l
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p
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eq
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esp
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16
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Sep
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RE
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NC
E
S
[
1
]
M
.
P
.
B
o
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c
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,
“
C
o
mb
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d
c
y
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.
K
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Po
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[
3
]
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.
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[
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T
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