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235
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[
1
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.
C
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t
h
e
p
lan
t is
s
elec
ted
in
th
i
s
w
o
r
k
.
T
h
e
co
n
tr
o
ller
d
ev
elo
p
m
e
n
t ta
k
e
s
p
lace
i
n
th
e
f
o
llo
w
i
n
g
s
tep
s
:
Stu
d
y
of
co
n
tr
o
l
h
ier
a
r
ch
y
in
a
m
o
d
er
n
p
o
w
er
p
lan
t
to
an
s
w
er
t
h
e
q
u
es
ti
on
of
h
o
w
an
d
w
h
er
e
to
in
teg
r
ate
th
e
n
ew
co
n
tr
o
ller
i
n
to
t
h
e
ex
is
tin
g
p
lan
t
co
n
tr
o
l
s
etu
p
.
C
o
n
tr
o
l
m
o
d
elin
g
to
u
n
d
er
s
tan
d
th
e
p
lan
t
d
y
n
a
m
ic
s
an
d
to
d
ec
id
e
on
th
e
co
n
tr
o
l
tech
n
iq
u
e
to
be
u
s
ed
.
C
o
n
tr
o
ller
d
ev
el
o
p
m
en
t
b
ased
on
th
e
s
elec
ted
co
n
tr
o
l
tech
n
i
q
u
e.
Dev
el
o
p
m
en
t o
f
a
v
i
r
tu
a
l
p
l
an
t
an
d
co
n
t
r
o
l
en
v
ir
o
n
m
en
t f
o
r
s
i
m
u
latio
n
an
d
an
aly
s
is
.
T
h
e
o
r
g
an
iz
ati
o
n
o
f
th
is
p
ap
e
r
f
o
ll
o
w
s
lin
es
s
i
m
ilar
to
th
e
ab
o
v
e
s
te
p
s
.
T
h
e
c
o
n
t
r
o
l
h
ier
ar
ch
y
in
a
m
o
d
er
n
p
r
o
ce
s
s
p
lan
t
is
d
es
c
r
ib
e
d
in
s
e
cti
o
n
I
I
w
h
ile
th
e
c
o
n
tr
o
l
m
o
d
e
l
in
g
o
f
e
q
u
i
p
m
en
t
in
a
c
o
g
en
e
r
a
ti
o
n
co
m
p
lex
is
ex
p
la
in
e
d
in
s
ec
ti
o
n
I
I
I
.
Dev
e
lo
p
m
en
t
o
f
f
u
zz
y
lo
g
ic
b
ase
d
s
u
p
er
v
is
o
r
y
co
n
tr
o
l
is
d
eta
ile
d
i
n
s
ec
ti
o
n
I
V
an
d
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
c
o
n
t
r
o
lle
r
th
r
o
u
g
h
r
esu
lts
o
b
ta
in
e
d
b
y
s
im
u
latin
g
th
e
co
n
t
r
o
ll
er
in
a
v
ir
tu
a
l
p
l
an
t
en
v
i
r
o
n
m
en
t
is
ill
u
s
tr
at
e
d
in
s
ec
ti
o
n
V.
A
n
aly
s
is
an
d
d
is
cu
s
s
i
o
n
o
f
th
e
r
esu
lts
a
r
e
g
iv
en
in
s
ec
t
io
n
VI
an
d
th
e
c
o
n
c
lu
s
io
n
s
a
r
e
s
u
m
m
ar
ized
in
s
ec
t
io
n
V
I
I
.
2.
C
O
N
T
R
O
L
H
I
E
R
A
R
C
H
Y
Mo
d
er
n
p
r
o
ce
s
s
an
d
p
o
w
er
p
lan
ts
h
a
v
e
d
if
f
er
en
t
l
e
v
e
ls
of
co
n
tr
o
l
w
it
h
each
le
v
e
l
tar
g
etin
g
a
s
p
ec
if
ic
o
b
ject
iv
e.
T
h
e
o
b
jecti
v
es
r
an
g
e
f
r
o
m
l
o
w
l
ev
e
l
p
l
an
t
co
n
tr
o
l
to
h
i
g
h
l
ev
el
p
er
f
o
r
m
a
n
ce
an
al
y
s
is
an
d
r
ep
o
r
t
g
en
er
atio
n
.
A
t
y
p
ic
al
co
n
tr
o
l
h
ier
a
r
ch
y
u
s
ed
in
m
o
d
er
n
p
r
o
ce
s
s
p
la
n
ts
i
s
s
h
o
w
n
i
n
Fi
g
u
r
e
1
.
T
h
e
s
a
m
e
h
ier
ar
ch
y
ca
n
be
s
u
cc
e
s
s
f
u
ll
y
ap
p
lied
to
a
co
g
en
er
ati
o
n
s
y
s
te
m
as
w
el
l.
Fig
u
r
e
1
.
C
o
n
tr
o
l h
ier
ar
ch
y
f
o
r
a
m
o
d
er
n
p
r
o
ce
s
s
p
lan
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l P
o
w
er
E
n
g
,
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
2
0
1
9
:
2
3
4
–
248
236
L
e
v
el
1
(
p
lan
t
eq
u
ip
m
e
n
t)
r
ep
r
esen
ts
t
h
e
p
lan
t
eq
u
ip
m
e
n
t
an
d
th
e
f
ield
tr
an
s
d
u
ce
r
s
u
s
ed
f
o
r
co
n
tr
o
llin
g
an
d
m
o
n
ito
r
in
g
i
n
d
iv
id
u
al
eq
u
ip
m
e
n
t.
I
n
t
h
e
ca
s
e
o
f
th
e
co
g
e
n
er
atio
n
s
y
s
te
m
,
t
h
e
p
lan
t
eq
u
ip
m
e
n
t
ca
n
b
e
a
g
as
t
u
r
b
in
e;
a
n
d
th
e
f
ield
tr
an
s
d
u
ce
r
ca
n
b
e
t
h
e
s
er
v
o
v
al
v
e
u
s
ed
to
co
n
tr
o
l
th
e
f
u
el
f
lo
w
to
th
e
tu
r
b
i
n
e.
L
e
v
el
2
(
t
ar
g
eted
co
n
t
r
o
ller
s
)
r
ep
r
esen
ts
th
e
i
n
d
iv
id
u
al
co
n
t
r
o
ller
s
th
at
co
n
t
r
o
l
a
s
p
ec
if
ic
eq
u
ip
m
e
n
t
o
r
s
u
b
-
s
y
s
te
m
i
n
t
h
e
p
lan
t.
A
t
y
p
ical
ex
a
m
p
le
is
a
t
u
r
b
in
e
g
o
v
er
n
o
r
s
y
s
te
m
t
h
at
co
n
tr
o
ls
a
g
as
t
u
r
b
in
e
o
r
a
s
tea
m
t
u
r
b
in
e.
P
lan
t D
i
s
tr
ib
u
te
d
C
o
n
tr
o
l S
y
s
te
m
(
D
C
S)
also
b
elo
n
g
s
to
t
h
is
ca
te
g
o
r
y
.
L
e
v
el
3
(
o
p
tim
izatio
n
an
d
m
u
ltiv
ar
iab
l
e
co
n
tr
o
l
)
r
ep
r
esen
ts
th
e
f
ir
s
t
s
u
p
er
v
is
o
r
y
co
n
tr
o
l
la
y
er
in
th
e
s
y
s
te
m
.
T
h
is
la
y
er
h
a
s
t
h
r
ee
m
ai
n
f
u
n
ctio
n
al
m
o
d
u
les.
Firs
t
is
t
h
e
d
ata
v
alid
atio
n
m
o
d
u
le
w
h
ic
h
p
r
o
ce
s
s
es
all
th
e
p
lan
t
d
ata,
b
o
th
f
r
o
m
th
e
f
ield
an
d
th
e
i
n
d
iv
id
u
al
co
n
tr
o
ller
s
;
v
alid
ates
t
h
e
d
ata
an
d
p
ass
es
it
o
n
to
th
e
o
p
tim
izer
.
T
h
e
d
ata
v
alid
atio
n
is
i
m
p
o
r
tan
t
as
t
h
e
q
u
alit
y
o
f
th
e
o
p
ti
m
izatio
n
r
esu
l
ts
d
ep
en
d
s
o
n
th
e
q
u
alit
y
o
f
th
e
in
p
u
t
d
ata.
Seco
n
d
is
th
e
in
teg
r
ated
o
p
ti
m
izer
m
o
d
u
le
th
at
co
llects
th
e
p
lan
t
d
ata
f
r
o
m
th
e
d
ata
v
alid
ato
r
,
t
h
e
i
n
p
u
t
d
ata
a
n
d
th
e
o
p
ti
m
iz
atio
n
o
b
j
ec
tiv
es
f
r
o
m
t
h
e
o
p
er
ato
r
,
an
d
g
en
er
ates
o
p
ti
m
al
s
e
t
-
p
o
in
t
s
f
o
r
t
h
e
r
ea
l
ti
m
e
p
lan
t
co
n
d
itio
n
s
.
T
h
e
o
b
jectiv
e
is
u
s
u
all
y
to
m
i
n
i
m
ize
t
h
e
co
s
t,
w
ith
ad
d
itio
n
al
g
o
als
d
ep
en
d
in
g
o
n
h
o
w
th
e
p
lan
t
n
ee
d
s
to
b
e
o
p
er
ated
[
1
]
.
T
h
e
th
ir
d
m
o
d
u
le
is
m
u
lti
v
ar
iab
le
co
n
tr
o
ller
th
at
g
ets t
h
e
o
p
tim
al
s
et
-
p
o
in
ts
f
r
o
m
t
h
e
o
p
ti
m
izer
a
n
d
tak
e
s
t
h
e
p
lan
t
f
r
o
m
t
h
e
p
r
esen
t
o
p
er
atin
g
co
n
d
itio
n
to
th
e
o
p
tim
a
l
o
p
er
atin
g
co
n
d
itio
n
.
T
h
e
m
u
lt
iv
ar
iab
le
co
n
tr
o
ller
is
u
s
u
all
y
a
s
e
t
-
p
o
i
n
t
co
n
tr
o
ller
th
a
t
i
n
ter
f
ac
e
s
d
ir
ec
tl
y
w
it
h
th
e
p
lan
t
lo
w
le
v
el
co
n
tr
o
ller
s
an
d
t
h
e
DC
S
s
y
s
te
m
s
.
T
h
is
p
ap
er
is
f
o
cu
s
ed
o
n
t
h
i
s
m
o
d
u
le
a
n
d
d
etails o
f
th
e
d
es
ig
n
a
n
d
d
ev
elo
p
m
en
t o
f
a
f
u
zz
y
s
u
p
er
v
is
o
r
y
co
n
tr
o
l s
y
s
te
m
ar
e
g
iv
e
n
.
L
e
v
el
4
(
p
er
f
o
r
m
an
ce
m
o
n
ito
r
in
g
)
r
ep
r
esen
ts
t
h
e
s
ec
o
n
d
s
u
p
er
v
is
o
r
y
co
n
tr
o
l
la
y
er
.
T
h
is
la
y
er
,
also
ca
lled
th
e
en
ter
p
r
is
e
r
eso
u
r
ce
la
y
er
,
is
u
s
ed
to
p
r
esen
t
o
n
l
y
th
e
m
o
s
t
cr
itical
p
la
n
t
d
ata
to
th
e
p
lan
t
h
i
g
h
er
m
an
a
g
e
m
e
n
t.
T
h
is
d
ata
is
m
o
s
tl
y
u
s
ed
b
y
t
h
e
m
an
a
g
er
s
to
k
n
o
w
ab
o
u
t
o
v
er
all
p
la
n
t
p
er
f
o
r
m
an
ce
a
n
d
o
p
er
atio
n
.
T
h
e
lo
n
g
ter
m
p
la
n
t
h
is
to
r
ian
i
s
also
u
s
u
all
y
i
m
p
le
m
en
ted
at
th
i
s
lev
el.
3.
C
O
N
T
R
O
L
M
O
D
E
L
L
I
NG
Dev
elo
p
in
g
a
m
at
h
e
m
atica
l
m
o
d
el
o
f
th
e
p
r
o
ce
s
s
is
o
f
ten
t
h
e
f
ir
s
t
s
tep
i
n
co
n
tr
o
l
d
esig
n
.
T
h
o
u
g
h
t
h
e
d
esig
n
o
f
th
e
f
u
zz
y
co
n
tr
o
ller
d
o
es
n
o
t
d
ep
en
d
o
n
in
ter
n
al
p
r
o
ce
s
s
m
o
d
els,
th
e
m
o
d
el
s
ar
e
im
p
o
r
ta
n
t
to
o
ls
f
o
r
th
e
s
i
m
u
latio
n
a
n
d
test
i
n
g
o
f
t
h
e
co
n
tr
o
ller
in
an
o
f
f
li
n
e
en
v
ir
o
n
m
e
n
t.
R
at
h
er
th
a
n
u
s
in
g
a
d
etailed
d
y
n
a
m
ic
m
o
d
el,
r
elat
io
n
s
h
ip
s
b
et
w
ee
n
s
elec
t
i
n
p
u
t
s
a
n
d
o
u
tp
u
t
s
i
n
t
h
e
g
i
v
en
s
y
s
te
m
ar
e
c
h
o
s
e
n
.
T
h
is
ca
n
b
e
o
b
s
er
v
ed
in
t
h
e
b
o
iler
m
o
d
el,
w
h
er
e
a
f
u
ll
m
o
d
el
w
ill
r
eq
u
ir
e
r
elat
io
n
s
h
ip
s
to
b
e
es
tab
lis
h
ed
b
et
w
ee
n
f
o
u
r
co
n
tr
o
l
lo
o
p
s
,
n
a
m
el
y
,
air
co
n
tr
o
l,
f
ee
d
-
w
ater
co
n
tr
o
l,
atte
m
p
er
ato
r
co
n
tr
o
l
an
d
f
u
el
f
lo
w
co
n
tr
o
l.
In
th
is
s
tu
d
y
o
n
l
y
th
e
f
u
el
co
n
tr
o
l
lo
o
p
is
co
n
s
i
d
er
ed
as
th
e
co
n
tr
o
l
af
f
ec
ts
o
n
l
y
t
h
i
s
lo
o
p
.
Si
m
ilar
c
h
o
ices
ar
e
m
ad
e
on
all
th
e
co
n
tr
o
l
m
o
d
els.
T
h
o
u
g
h
t
h
e
p
la
n
t
m
o
d
els
ar
e
d
y
n
a
m
ic
,
th
e
s
tead
y
s
tate
n
atu
r
e
of
t
h
e
p
lan
t
m
o
d
els
is
s
i
m
ilar
to
th
e
o
p
ti
m
izatio
n
m
o
d
els.
T
h
is
can
be
o
b
s
er
v
e
d
in
t
h
e
b
o
iler
m
o
d
els
u
s
ed
f
o
r
o
p
tim
izat
io
n
a
n
d
b
o
iler
m
o
d
els
u
s
ed
f
o
r
s
i
m
u
l
atio
n
.
If
in
t
h
e
o
p
ti
m
izatio
n
m
o
d
el
t
h
e
b
o
iler
f
u
el
co
n
s
u
m
p
tio
n
is
10
t
f
o
r
140
t/h
of
s
tea
m
th
e
n
t
h
e
b
o
iler
d
y
n
a
m
ic
m
o
d
el
w
ill
co
n
s
u
m
e
th
e
s
a
m
e
d
u
r
i
n
g
s
tead
y
s
tate
co
n
d
itio
n
s
.
T
h
is
s
y
n
c
h
r
o
n
ized
ch
ar
ac
ter
i
s
tic
aid
s
ac
cu
r
ate
r
ea
l
tim
e
s
i
m
u
latio
n
of
th
e
s
y
s
te
m
i
n
co
n
j
u
n
ctio
n
w
it
h
th
e
o
p
tim
izatio
n
of
t
h
e
p
lan
t.
C
o
n
tr
o
l
m
o
d
els
f
o
r
th
e
co
g
e
n
er
atio
n
p
lan
t
co
m
p
o
n
e
n
t
s
,
g
as
t
u
r
b
in
e
(
GT
)
,
h
ea
t
r
ec
o
v
er
y
s
tea
m
g
en
er
ato
r
(
HR
SG)
,
B
o
iler
,
De
-
ae
r
ato
r
,
p
r
ess
u
r
e
r
ed
u
ce
r
d
e
-
s
u
p
er
h
ea
ter
(
P
R
DS)
an
d
S
tea
m
Hea
d
er
h
av
e
b
ee
n
d
ev
elo
p
ed
an
d
d
etailed
d
escr
i
p
tio
n
o
f
all
m
o
d
els
i
s
av
ailab
l
e
in
[
1
9
]
.
T
o
k
ee
p
th
e
p
ap
er
l
en
g
t
h
w
it
h
i
n
li
m
it
s
,
o
n
l
y
t
h
e
b
o
iler
m
o
d
el
is
d
is
cu
s
s
ed
in
th
is
s
ec
t
io
n
as a
n
ill
u
s
tr
ativ
e
ex
a
m
p
le
.
3
.
1
.
B
o
iler
m
o
del
B
lo
ck
d
iag
r
a
m
of
th
e
b
o
iler
m
o
d
el
is
s
h
o
w
n
in
Fi
g
u
r
e
2
.
I
n
p
u
t
s
to
th
e
b
o
iler
m
o
d
el
ar
e
b
o
iler
s
tea
m
s
et
-
p
o
in
t
(
SP
)
an
d
b
o
iler
in
itial
co
n
d
itio
n
s
w
h
ile
t
h
e
o
u
tp
u
ts
ar
e
b
o
iler
s
tea
m
,
b
o
iler
f
u
e
l
co
n
s
u
m
p
tio
n
an
d
b
o
iler
f
ee
d
w
ater
(
B
FW
)
co
n
s
u
m
p
tio
n
.
I
n
ter
n
all
y
t
h
e
b
o
ile
r
s
tea
m
s
e
t
-
p
o
i
n
t
i
s
r
o
u
ted
to
a
r
ate
li
m
i
ter
t
h
at
co
n
tr
o
ls
th
e
r
ate
at
w
h
ic
h
t
h
e
b
o
iler
o
u
tp
u
t
ca
n
b
e
ch
an
g
e
d
s
af
el
y
.
B
o
iler
s
h
a
v
e
h
i
g
h
t
h
er
m
al
ca
p
ac
ita
n
ce
.
T
h
u
s
f
u
el
i
n
p
u
t
s
h
o
u
ld
b
e
ch
a
n
g
ed
at
a
co
n
tr
o
lled
r
ate
s
o
as
to
a
ch
iev
e
a
s
m
o
o
th
u
p
s
w
i
n
g
an
d
d
o
w
n
s
w
i
n
g
o
f
th
e
b
o
iler
o
u
tp
u
t.
T
h
e
r
ate
l
i
m
iter
h
elp
s
in
ac
h
iev
i
n
g
t
h
e
s
a
m
e.
T
h
e
o
u
tp
u
t
o
f
th
e
r
ate
li
m
iter
is
f
ed
to
th
e
s
atu
r
atio
n
b
lo
ck
t
h
at
li
m
it
s
t
h
e
m
a
x
i
m
u
m
a
n
d
m
in
i
m
u
m
o
u
tp
u
t
f
r
o
m
t
h
e
b
o
iler
.
Nex
t
t
h
e
s
ig
n
al
i
s
g
iv
e
n
to
a
s
ec
o
n
d
o
r
d
er
s
y
s
te
m
w
it
h
d
ea
d
-
ti
m
e
b
lo
ck
th
a
t
s
i
m
u
lates
t
h
e
b
o
iler
d
y
n
a
m
ic
s
.
T
h
e
o
u
tp
u
t
o
f
th
e
b
lo
ck
i
s
t
h
e
b
o
iler
s
team
.
T
h
e
m
o
d
u
le
als
o
h
as
a
b
o
iler
ch
ar
ac
ter
is
tic
b
lo
ck
th
at
is
u
s
ed
f
o
r
s
y
n
ch
r
o
n
izatio
n
w
it
h
th
e
o
p
tim
izatio
n
m
o
d
el.
B
o
iler
s
team
o
u
tp
u
t
r
esp
o
n
s
e
t
o
a
b
o
iler
s
team
s
et
-
p
o
in
t
is
s
h
o
w
n
i
n
Fig
u
r
e
3
.
T
h
e
b
o
iler
s
et
-
p
o
in
t
is
ch
an
g
ed
f
r
o
m
6
0
t/
h
to
9
0
t/
h
a
n
d
th
e
s
tea
m
g
r
ad
u
all
y
r
i
s
es
to
t
h
e
s
et
-
p
o
i
n
t
i
n
ab
o
u
t
2
0
0
s
;
an
a
v
er
ag
e
in
cr
ea
s
e
o
f
1
0
t/h
ev
er
y
m
in
u
t
e.
I
t
ca
n
b
e
s
ee
n
th
at
th
e
s
w
i
n
g
u
p
h
as
a
v
er
y
f
lat
p
r
o
f
ile.
T
h
is
ca
n
b
e
attr
ib
u
ted
to
th
e
r
ate
li
m
iter
in
th
e
m
o
d
e
l.
T
h
e
o
u
tp
u
t
b
eg
in
s
to
r
is
e
a
g
o
o
d
2
0
s
af
ter
t
h
e
i
n
p
u
t
i
s
g
i
v
en
.
T
h
is
is
b
ec
a
u
s
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
p
p
l P
o
w
er
E
n
g
I
SS
N:
2252
-
8792
S
u
p
ervis
o
r
y
co
n
tr
o
l o
f o
p
era
ti
o
n
o
f a
co
g
e
n
era
tio
n
p
l
a
n
t u
s
i
n
g
fu
z
z
y
lo
g
ic
(
V
ivek
P
a
n
d
u
r
a
n
g
a
n
)
237
in
a
n
o
il
f
ir
ed
b
o
iler
t
h
e
air
is
i
n
cr
e
m
e
n
ted
f
ir
s
t
an
d
t
h
e
n
t
h
e
f
u
el.
I
n
ad
d
itio
n
,
t
h
e
lar
g
e
t
h
e
r
m
al
ca
p
ac
ita
n
ce
o
f
th
e
b
o
iler
also
co
n
tr
ib
u
tes to
t
h
is
d
ela
y
.
Fig
u
r
e
2
.
B
o
iler
m
o
d
el
(
d
y
n
a
m
ic
)
Fig
u
r
e
3
.
B
o
iler
o
u
tp
u
t c
h
ar
ac
ter
is
tics
4.
F
U
Z
Z
Y
C
O
N
T
R
O
L
L
E
R
To
j
u
d
g
e
th
e
ef
f
ec
tiv
en
ess
of
th
e
s
elec
ted
f
u
zz
y
s
u
p
er
v
i
s
o
r
y
co
n
tr
o
l
s
y
s
te
m
th
e
f
o
llo
w
in
g
cr
itica
l
p
ar
am
eter
s
ar
e
tak
en
in
to
ac
c
o
u
n
t:
a.
Op
ti
m
al
s
e
t
-
p
o
in
t
d
ev
iat
io
n
f
o
r
g
en
er
ato
r
s
a
n
d
b
o
iler
s
b.
P
r
o
ce
s
s
s
ettlin
g
ti
m
e
c.
Ma
x
i
m
u
m
d
ev
iatio
n
in
tie
lin
e
p
o
w
er
l
e
v
e
l
d.
Ma
x
im
u
m
d
ev
iati
o
n
in
s
t
ea
m
h
ea
d
er
p
r
ess
u
r
e
lev
el
.
I
n
an
id
ea
l
s
ce
n
ar
io
,
d
ev
iatio
n
f
r
o
m
th
e
o
p
ti
m
a
l
s
et
-
p
o
in
t
m
u
s
t
b
e
ze
r
o
u
n
d
er
s
tead
y
s
tate
co
n
d
itio
n
s
,
th
e
p
r
o
ce
s
s
s
et
tli
n
g
t
i
m
e
s
h
o
u
ld
b
e
as
f
ast
a
s
p
o
s
s
ib
le,
w
i
th
in
d
u
s
tr
y
s
ta
n
d
ar
d
ti
m
e
les
s
t
h
an
th
ir
t
y
m
i
n
u
te
s
,
an
d
t
h
e
m
ax
i
m
u
m
d
ev
iatio
n
o
f
cr
itical
p
ar
a
m
eter
s
lev
el
s
s
h
o
u
ld
b
e
k
ep
t
less
t
h
an
1
0
%
o
f
th
e
ir
r
eq
u
ir
ed
o
p
er
atin
g
p
o
in
ts
.
T
o
ac
h
iev
e
th
e
co
n
tr
o
l
an
d
p
er
f
o
r
m
an
ce
o
b
j
ec
tiv
es
f
iv
e
d
if
f
er
e
n
t
f
u
zz
y
co
n
tr
o
l
s
ch
e
m
e
s
h
av
e
b
ee
n
d
e
v
elo
p
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l P
o
w
er
E
n
g
,
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
2
0
1
9
:
2
3
4
–
248
238
a)
T
i
e
P
o
w
e
r
c
o
n
t
r
o
l
s
ch
e
m
e:
An
y
g
e
n
er
ato
r
in
th
e
co
g
en
e
r
atio
n
s
y
s
te
m
ca
n
o
p
er
ate
in
tie
co
n
tr
o
l
m
o
d
e.
I
n
th
i
s
s
c
h
e
m
e
th
e
g
en
er
ato
r
lo
o
k
s
o
n
l
y
f
o
r
t
h
e
t
i
e
p
o
w
er
a
n
d
tr
ies
to
m
ain
tain
i
t a
t t
h
e
r
eq
u
ir
ed
o
p
er
atin
g
p
o
i
n
t.
T
h
e
g
en
er
ato
r
i
n
th
is
m
o
d
e
ac
ts
lik
e
a
s
lac
k
g
en
er
ato
r
,
tak
es
ca
r
e
o
f
th
e
s
y
s
te
m
d
i
s
t
u
r
b
an
ce
s
a
n
d
k
ee
p
s
th
e
cr
it
ical
t
ie
li
n
e
p
o
w
er
w
i
th
i
n
li
m
it
s
.
b)
Gen
er
at
o
r
s
et
-
p
o
in
t
c
o
n
t
r
o
l
s
c
h
em
e:
Mo
s
t
o
f
t
h
e
g
en
er
ato
r
s
in
th
e
co
g
en
er
atio
n
s
y
s
te
m
w
ill
o
p
er
ate
in
t
h
e
g
en
er
ato
r
s
et
-
p
o
i
n
t
co
n
tr
o
l
m
o
d
e.
I
n
t
h
i
s
m
o
d
e
th
e
f
u
zz
y
s
u
p
er
v
i
s
o
r
y
co
n
tr
o
l
tak
e
s
th
e
s
y
s
te
m
f
r
o
m
t
h
e
p
r
esen
t
o
p
e
r
atin
g
p
o
in
t
to
th
e
o
p
tim
a
l o
p
er
atin
g
p
o
in
t.
c)
Stea
m
h
ea
d
er
p
r
e
s
s
u
r
e
c
o
n
t
r
o
l
s
ch
em
e:
An
y
b
o
iler
u
n
it
i
n
t
h
e
co
g
en
er
atio
n
s
y
s
te
m
ca
n
o
p
er
ate
i
n
h
ea
d
er
p
r
ess
u
r
e
co
n
tr
o
l
m
o
d
e.
I
n
th
i
s
s
ch
e
m
e
th
e
b
o
iler
tr
ies
o
n
l
y
t
o
m
ai
n
tai
n
t
h
e
s
tea
m
h
ea
d
er
p
r
ess
u
r
e
it
co
n
t
r
o
ls
.
T
h
e
b
o
iler
in
th
i
s
m
o
d
e
ac
t
s
lik
e
a
s
lac
k
b
o
iler
a
n
d
ta
k
es
ca
r
e
o
f
th
e
s
y
s
te
m
d
is
t
u
r
b
an
ce
s
,
an
d
k
ee
p
s
th
e
s
tea
m
h
ea
d
er
p
r
ess
u
r
e
w
it
h
i
n
li
m
it
s
.
d)
B
o
iler
s
et
-
p
o
in
t
c
o
n
t
r
o
l
s
ch
em
e:
Mo
s
t
o
f
th
e
b
o
iler
u
n
it
s
w
il
l
o
p
er
ate
in
t
h
e
b
o
iler
s
e
t
-
p
o
i
n
t
c
o
n
tr
o
l
m
o
d
e.
I
n
th
is
m
o
d
e
t
h
e
co
n
tr
o
ller
tak
es t
h
e
b
o
iler
f
r
o
m
t
h
e
p
r
esen
t o
p
er
atin
g
p
o
in
t to
th
e
o
p
ti
m
al
o
p
er
atin
g
p
o
in
t.
e)
P
R
DS
s
et
-
p
o
in
t
c
o
n
t
r
o
l
s
ch
em
e:
A
ll
th
e
P
R
DSs
in
th
e
s
y
s
te
m
ar
e
p
u
t
in
th
e
P
R
D
S
s
et
-
p
o
in
t
co
n
tr
o
l
s
ch
e
m
e.
I
n
t
h
is
m
o
d
e
th
e
P
R
D
S
n
o
t
o
n
l
y
tr
ie
s
t
o
r
ea
ch
its
o
p
tim
a
l
o
p
er
atin
g
p
o
in
t
b
u
t
also
k
ee
p
s
in
c
h
ec
k
t
h
e
d
o
w
n
s
tr
ea
m
/u
p
s
tr
ea
m
h
ea
d
er
p
r
ess
u
r
e.
A
ll
f
i
v
e
co
n
tr
o
l
s
c
h
e
m
e
s
ar
e
u
s
ed
in
ta
n
d
e
m
i
n
th
e
co
g
en
er
atio
n
p
lan
t
to
ac
h
iev
e
t
h
e
co
n
tr
o
l
o
b
j
ec
tiv
es.
T
h
e
f
u
zz
y
r
u
les
a
r
e
d
esig
n
ed
s
o
t
h
at
t
h
e
co
n
tr
o
ll
er
o
u
tp
u
ts
d
o
n
o
t
co
n
f
lict
w
it
h
o
n
e
a
n
o
th
er
.
Deta
iled
d
escr
ip
tio
n
s
o
f
all
f
u
zz
y
co
n
tr
o
l
s
c
h
e
m
es
a
n
d
t
h
e
r
u
le
b
ases
ca
n
b
e
f
o
u
n
d
in
[
1
9
]
.
On
l
y
t
h
e
d
esi
g
n
o
f
g
en
er
ato
r
s
et
-
p
o
in
t c
o
n
tr
o
l is e
x
p
lain
ed
b
elo
w
a
s
an
il
lu
s
tr
ati
v
e
ex
a
m
p
le.
4
.
1
.
G
ener
a
t
o
r
s
et
-
po
int
c
o
ntr
o
l
T
h
e
f
u
zz
y
g
e
n
er
ato
r
s
et
-
p
o
in
t
co
n
tr
o
l
s
c
h
e
m
e
i
s
p
r
ese
n
ted
i
n
F
ig
.
4
.
I
n
p
u
t
s
to
th
e
co
n
tr
o
l
ler
ar
e
th
e
tie
p
o
w
er
s
e
t
-
p
o
i
n
t
er
r
o
r
an
d
th
e
g
en
er
ato
r
p
o
w
er
s
et
-
p
o
in
t
er
r
o
r
.
T
h
e
g
en
er
ato
r
p
o
w
er
s
et
-
p
o
i
n
t
er
r
o
r
s
ig
n
i
f
ies
t
h
e
d
i
f
f
er
e
n
ce
b
et
w
e
en
th
e
o
p
ti
m
al
o
p
er
atin
g
co
n
d
itio
n
an
d
th
e
p
r
ese
n
t
o
p
er
atin
g
co
n
d
itio
n
.
T
h
is
co
n
tr
o
ller
is
p
r
i
m
ar
il
y
r
esp
o
n
s
ib
le
f
o
r
ta
k
in
g
t
h
e
g
e
n
er
ato
r
to
its
o
p
ti
m
a
l
o
p
er
atin
g
co
n
d
itio
n
.
Gen
er
ato
r
s
o
p
er
atin
g
in
th
is
m
o
d
e
m
o
v
e
to
w
ar
d
s
th
eir
o
p
ti
m
al
s
et
-
p
o
in
ts
an
d
d
o
n
o
t
ca
r
e
if
th
e
lo
ad
ch
an
g
es
h
ap
p
en
in
th
e
s
y
s
te
m
.
Fig
u
r
e
4
.
Fu
zz
y
g
e
n
er
ato
r
s
et
-
p
o
in
t c
o
n
tr
o
l
a.
I
np
ut
a
nd
o
utp
ut
ba
s
is
f
u
nct
io
n
T
h
e
in
p
u
t
an
d
o
u
tp
u
t
b
asi
s
f
u
n
ctio
n
s
ar
e
s
h
o
w
n
in
Fi
g
u
r
e
5
&
6
,
r
esp
ec
ti
v
el
y
.
T
h
e
r
a
n
g
e
o
f
t
h
e
in
p
u
t
b
asis
f
u
n
ctio
n
s
i
s
ch
o
s
e
n
i
n
co
n
s
id
er
atio
n
w
i
th
t
h
e
m
a
x
i
m
u
m
a
llo
w
ab
le
tie
h
ea
d
er
er
r
o
r
an
d
m
a
x
i
m
u
m
g
en
er
ato
r
s
et
-
p
o
i
n
t
er
r
o
r
,
w
h
ile
th
e
o
u
tp
u
t
b
asis
f
u
n
cti
o
n
s
ar
e
ch
o
s
en
ac
co
r
d
in
g
t
o
th
e
GT
s
et
-
p
o
i
n
t
r
ate
li
m
iter
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
p
p
l P
o
w
er
E
n
g
I
SS
N:
2252
-
8792
S
u
p
ervis
o
r
y
co
n
tr
o
l o
f o
p
era
ti
o
n
o
f a
co
g
e
n
era
tio
n
p
l
a
n
t u
s
i
n
g
fu
z
z
y
lo
g
ic
(
V
ivek
P
a
n
d
u
r
a
n
g
a
n
)
239
(
a)
(b
)
Fig
u
r
e
5
.
I
n
p
u
t b
asis
f
u
n
ctio
n
s
(
Gen
er
ato
r
s
et
-
p
o
in
t c
o
n
tr
o
l)
:
(
a)
.
Po
w
er
er
r
o
r
,
(
b
)
.
Gen
er
ato
r
s
et
-
p
o
in
t e
r
r
o
r
Fig
u
r
e
6
.
Ou
tp
u
t b
asi
s
f
u
n
ctio
n
s
(
g
e
n
er
ato
r
s
et
-
p
o
i
n
t c
o
n
tr
o
l
)
b.
F
uzzy
rule
ba
s
e
T
h
e
f
u
zz
y
r
u
le
b
ase
u
s
ed
in
g
en
er
ato
r
s
et
-
p
o
in
t
co
n
tr
o
l
is
s
h
o
w
n
i
n
Fi
g
u
r
e
7
.
T
h
e
f
u
zz
y
r
u
le
b
ase
i
s
d
esig
n
ed
to
m
i
m
ic
a
n
i
n
telli
g
en
t
o
p
er
ato
r
.
W
h
en
b
o
th
th
e
t
ie
p
o
w
er
er
r
o
r
an
d
g
en
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
ar
e
n
eg
at
iv
e,
b
o
th
er
r
o
r
s
ca
n
b
e
r
ed
u
ce
d
b
y
i
n
cr
ea
s
i
n
g
th
e
s
et
-
p
o
in
t
o
f
t
h
e
g
en
er
ato
r
.
T
h
e
f
u
zz
y
r
u
le
b
as
e
i
m
p
le
m
en
t
s
t
h
i
s
b
y
g
i
v
i
n
g
a
p
o
s
itiv
e
s
et
-
p
o
in
t
(
P
SP
)
.
T
h
e
r
ev
er
s
e
h
ap
p
en
s
w
h
e
n
b
o
th
t
h
e
tie
p
o
w
er
er
r
o
r
an
d
g
en
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
ar
e
p
o
s
itiv
e.
I
n
co
n
d
it
io
n
s
w
h
e
n
th
e
tie
p
o
w
er
er
r
o
r
is
p
o
s
itiv
e
an
d
g
e
n
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
is
n
e
g
ati
v
e
o
r
v
ice
v
er
s
a,
t
h
e
co
n
tr
o
ller
tak
e
s
n
o
ac
tio
n
b
y
g
i
v
i
n
g
a
Z
SP
o
r
ze
r
o
s
et
-
p
o
in
t
ch
a
n
g
e
as
an
y
c
h
a
n
g
e
w
i
ll
ag
g
r
av
ate
t
h
e
s
it
u
atio
n
o
f
o
n
e
o
f
t
h
e
co
n
t
r
o
l
p
ar
am
eter
s
.
T
h
is
is
ex
p
lai
n
ed
in
th
e
f
o
llo
w
i
n
g
ex
a
m
p
le.
Fig
u
r
e
7
.
Fu
zz
y
r
u
le
b
ase
(
g
e
n
er
ato
r
se
t
-
p
o
in
t c
o
n
tr
o
l)
Ass
u
m
e
th
a
t
th
e
tie
p
o
w
er
er
r
o
r
is
p
o
s
itiv
e
a
n
d
g
e
n
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
is
n
e
g
ati
v
e.
I
f
a
p
o
s
itiv
e
s
et
-
p
o
in
t
ch
a
n
g
e
is
g
i
v
e
n
t
h
en
g
e
n
er
ato
r
s
et
-
p
o
i
n
t
er
r
o
r
w
i
ll
r
e
d
u
ce
b
u
t
t
h
e
cr
itical
p
ar
a
m
ete
r
,
tie
p
o
w
er
er
r
o
r
,
w
il
l
i
n
cr
ea
s
e.
I
n
s
tead
,
if
a
n
e
g
ativ
e
s
et
-
p
o
in
t
ch
a
n
g
e
i
s
g
i
v
en
th
e
tie
p
o
w
er
er
r
o
r
w
ill
r
ed
u
c
e
b
u
t
th
e
p
lan
t
w
ill
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l P
o
w
er
E
n
g
,
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
2
0
1
9
:
2
3
4
–
248
240
m
o
v
e
a
w
a
y
f
r
o
m
th
e
o
p
ti
m
al
g
en
er
ato
r
o
p
er
atin
g
p
o
in
t.
T
h
u
s
th
e
b
est
co
u
r
s
e
o
f
ac
tio
n
is
to
w
ait
u
n
t
il
th
e
co
n
d
itio
n
s
b
ec
o
m
e
f
av
o
u
r
ab
le.
A
s
t
h
e
m
ai
n
j
o
b
o
f
th
e
co
n
t
r
o
ller
is
to
tak
e
th
e
g
e
n
er
ato
r
to
its
o
p
tim
al
o
p
er
atin
g
p
o
in
t,
d
u
r
in
g
co
n
d
it
io
n
s
w
h
e
n
t
h
e
tie
p
o
w
er
er
r
o
r
is
ze
r
o
an
d
th
er
e
is
a
p
o
s
itiv
e
o
r
n
eg
ativ
e
er
r
o
r
g
en
er
ato
r
s
et
-
p
o
in
t,
it
i
s
s
u
es
a
s
N
SP
(
s
m
all
n
eg
at
iv
e
s
e
t
-
p
o
in
t)
an
d
s
P
SP
(
s
m
al
l
p
o
s
itiv
e
s
et
-
poi
n
t)
.
An
y
ch
an
g
e
in
th
e
tie
p
o
w
er
er
r
o
r
c
au
s
ed
d
u
e
to
t
h
i
s
ac
tio
n
w
i
ll b
e
h
a
n
d
led
b
y
th
e
g
e
n
er
ato
r
b
ei
n
g
p
u
t
i
n
tie
p
o
w
er
co
n
tr
o
l
m
o
d
e.
Fin
all
y
w
h
e
n
b
o
th
th
e
tie
p
o
w
er
er
r
o
r
an
d
g
en
er
ato
r
p
o
w
er
er
r
o
r
ar
e
ze
r
o
,
th
e
co
n
tr
o
ller
g
iv
e
s
a
ze
r
o
s
et
-
p
o
in
t c
h
a
n
g
e
as
b
o
th
co
n
tr
o
l o
b
j
ec
tiv
es a
r
e
ac
h
ie
v
e
d
.
c.
Co
ntr
o
l su
rf
a
ce
T
h
e
co
n
tr
o
l
s
u
r
f
ac
e
f
o
r
g
e
n
er
ato
r
s
et
-
p
o
in
t
co
n
tr
o
ller
is
s
h
o
w
n
in
Fi
g
u
r
e
8
.
I
t
ca
n
b
e
o
b
s
er
v
ed
th
a
t
w
h
e
n
b
o
th
th
e
g
e
n
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
an
d
tie
p
o
w
er
er
r
o
r
ar
e
p
o
s
itiv
e
th
e
g
en
er
ato
r
s
et
-
p
o
in
t
c
h
a
n
g
e
i
s
n
eg
at
iv
e.
W
h
e
n
b
o
th
th
e
g
en
er
ato
r
s
et
-
p
o
in
t
er
r
o
r
an
d
tie
p
o
w
er
er
r
o
r
a
r
e
n
eg
ativ
e
t
h
e
g
en
er
ato
r
s
et
-
p
o
in
t
ch
an
g
e
i
s
p
o
s
itiv
e.
I
t c
a
n
b
e
s
e
en
th
a
t th
e
co
n
tr
o
l s
u
r
f
ac
e
o
u
t
p
u
t is
n
o
n
-
ze
r
o
at
ze
r
o
tie
p
o
w
er
er
r
o
r
c
o
n
d
itio
n
s
.
T
h
is
is
d
u
e
to
t
h
e
s
m
all
s
et
-
p
o
in
t
c
h
a
n
g
e
s
s
p
ec
i
f
ied
i
n
t
h
e
f
u
zz
y
r
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les.
I
n
co
n
d
itio
n
s
w
h
e
n
tie
p
o
w
er
er
r
o
r
an
d
g
en
er
ato
r
s
et
-
p
o
in
t e
r
r
o
r
ar
e
o
f
o
p
p
o
s
ite
s
ig
n
a
ze
r
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s
et
-
p
o
in
t c
h
an
g
e
is
t
h
e
o
u
tp
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t.
Fig
u
r
e
8
.
C
o
n
tr
o
l su
r
f
ac
e
(
g
e
n
er
ato
r
s
et
-
p
o
in
t c
o
n
tr
o
l)
5.
S
I
M
U
L
A
T
I
O
N
S
T
U
D
I
E
S
AND
R
E
S
U
L
T
S
T
o
s
im
u
late
t
h
e
co
n
tr
o
l
d
ev
el
o
p
ed
,
a
v
ir
tu
al
p
lan
t
e
n
v
ir
o
n
m
en
t
i
s
cr
ea
ted
a
s
s
h
o
w
n
i
n
Fig
.
9
.
T
h
e
m
o
d
el
p
la
n
t
u
s
ed
to
test
t
h
e
f
u
zz
y
co
n
tr
o
l
i
s
th
e
s
a
m
e
r
ef
i
n
er
y
co
g
e
n
er
atio
n
p
la
n
t
a
s
u
s
ed
to
tes
t
th
e
o
p
tim
izatio
n
al
g
o
r
ith
m
[
1
]
.
T
h
e
p
lan
t
co
n
s
i
s
ts
o
f
t
h
r
ee
GT
-
HR
SG
u
n
it
s
,
th
r
ee
b
o
iler
u
n
its
,
t
h
r
ee
s
tea
m
h
ea
d
er
s
an
d
t
h
r
ee
P
R
SD
u
n
it
s
.
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h
e
n
o
n
-
o
p
ti
m
ized
i
n
itial
co
n
d
itio
n
s
ar
e
d
e
f
in
ed
i
n
a
p
l
an
t
Gr
ap
h
ical
User
I
n
ter
f
ac
e
(
GUI
)
d
ev
elo
p
ed
in
ex
ce
l.
T
h
e
p
lan
t
in
i
tial
co
n
d
i
tio
n
s
ar
e
u
s
ed
b
y
th
e
in
te
g
r
at
ed
o
p
tim
izer
[
1
]
to
co
m
e
u
p
w
i
th
t
h
e
o
p
ti
m
al
s
et
-
p
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ts
.
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h
e
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ti
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al
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et
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p
o
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t
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ar
e
u
s
ed
b
y
th
e
r
ea
l ti
m
e
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la
n
t
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o
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el
i
n
Si
m
u
li
n
k
to
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i
m
u
late
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h
e
co
n
tr
o
l a
ctio
n
.
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f
u
ll b
atter
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o
f
co
n
tr
o
l te
s
ts
,
n
a
m
e
l
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Op
ti
m
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atin
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t tr
ac
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t
P
o
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er
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t
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r
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ce
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Stea
m
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r
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te
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v
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n
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P
ar
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o
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I
t
w
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s
co
n
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u
cted
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tes
t
t
h
e
e
f
f
icac
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o
f
th
e
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r
o
p
o
s
ed
co
n
tr
o
l
ler
.
R
es
u
lts
o
f
s
i
m
u
latio
n
s
t
u
d
ies
f
o
r
all
th
e
ab
o
v
e
m
e
n
tio
n
ed
tes
ts
ar
e
d
e
-
tailed
in
[
1
9
]
.
R
esu
lt
s
o
f
t
w
o
test
s
,
th
e
o
p
ti
m
al
o
p
er
atin
g
p
o
in
t
tr
ac
k
i
n
g
te
s
t
w
h
er
e
t
h
e
co
n
tr
o
ller
tak
e
s
t
h
e
p
o
in
t
f
r
o
m
a
n
in
i
tial
o
p
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atin
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p
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t
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a
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o
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ti
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ized
o
p
er
atin
g
p
o
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t
an
d
th
e
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o
w
er
d
is
t
u
r
b
an
ce
te
s
t
w
h
er
e
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e
s
y
s
te
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ex
p
er
ie
n
ce
s
a
s
u
d
d
en
p
o
w
er
lo
ad
c
h
an
g
e,
ar
e
g
i
v
e
n
b
elo
w
a
s
a
n
illu
s
tr
atio
n
o
f
t
h
e
p
er
f
o
r
m
a
n
ce
o
b
tain
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
p
p
l P
o
w
er
E
n
g
I
SS
N:
2252
-
8792
S
u
p
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n
tr
o
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ic
(
V
ivek
P
a
n
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r
a
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)
241
Fig
u
r
e
9
.
Vir
tu
al
p
lan
t e
n
v
ir
o
n
m
en
t
5
.
1
.
Si
m
ula
t
io
n w
it
h
o
pti
m
iz
a
t
io
n pa
ra
m
et
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s
T
h
e
p
lan
t
in
itial
co
n
d
itio
n
s
an
d
th
e
p
lan
t
o
p
ti
m
al
o
p
er
atin
g
p
o
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n
t
ar
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s
h
o
w
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i
n
T
ab
le
1
.
T
h
e
s
u
p
er
v
i
s
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y
co
n
tr
o
l
u
s
ed
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n
tr
o
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th
e
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n
t
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n
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t
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o
f
n
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iv
id
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al
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zz
y
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n
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o
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;
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ch
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o
r
t
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r
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as
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r
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i
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o
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h
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t
h
r
ee
b
o
iler
s
an
d
o
n
e
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c
h
f
o
r
th
r
ee
P
R
DS
s
.
GT
-
1
a
n
d
GT
-
3
w
er
e
o
p
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ated
in
g
en
er
ato
r
s
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p
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n
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o
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e
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ile
GT
-
2
w
as
p
u
t
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n
th
e
tie
p
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er
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n
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o
l
m
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e.
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o
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1
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d
B
o
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3
w
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e
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ated
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t
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e
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as
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ll
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e
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R
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s
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er
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p
u
t
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R
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et
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t
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n
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e.
T
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e
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m
u
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n
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f
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r
1
5
0
0
s
in
th
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ti
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e
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t
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o
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el
d
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e
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p
ed
in
SIM
UL
I
NK.
T
h
e
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lts
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e
s
h
o
w
n
i
n
T
ab
le
1
.
T
ab
le
1
P
lan
t
I
n
itial
C
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itio
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s
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d
Op
ti
m
a
l O
p
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atin
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P
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P
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22
MW
H
R
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HP
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m
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m
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e
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m
4
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6
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4
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B
o
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r
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MP
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m
90
t
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5
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P
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S
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1
D
o
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t
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3
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.
5
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D
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D
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W
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P
r
o
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e
ss
p
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r
&
s
t
e
a
m
l
o
a
d
s
P
r
o
c
e
ss Po
w
e
r
L
o
a
d
4
8
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W
4
8
M
W
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r
o
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e
ss H
P
S
t
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m L
o
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d
5
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ss M
P
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m L
o
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d
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h
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m
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o
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d
1
4
0
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0
t
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h
T
h
e
tie
an
d
GT
p
o
w
er
c
h
an
g
e
s
d
u
r
i
n
g
th
e
s
i
m
u
latio
n
ar
e
s
h
o
w
n
i
n
Fi
g
u
r
es
1
0
an
d
1
1
,
r
es
p
ec
tiv
el
y
.
I
t
is
o
b
s
er
v
ed
t
h
at,
f
r
o
m
t
h
e
i
n
itial
co
n
d
itio
n
o
f
1
6
MW
,
G
T
-
3
r
ea
ch
es
it
s
o
p
ti
m
al
o
p
er
atin
g
p
o
in
t
in
ab
o
u
t
1
0
0
s
.
Du
r
in
g
t
h
is
t
i
m
e
GT
-
1
l
o
ad
is
g
o
in
g
d
o
w
n
,
b
u
t
w
it
h
n
o
g
en
er
ato
r
ab
le
to
m
atc
h
t
h
e
p
o
w
er
r
ed
u
ctio
n
t
h
e
tie
p
o
w
er
also
b
eg
in
s
to
g
o
n
eg
ati
v
e
as
s
ee
n
in
Fi
g
u
r
e
1
0
.
No
w
GT
-
2
th
at
is
i
n
th
e
tie
p
o
w
er
co
n
tr
o
l
m
o
d
e
co
m
e
s
i
n
to
p
la
y
an
d
i
n
cr
ea
s
e
s
its
p
o
w
er
o
u
tp
u
t.
T
h
u
s
as
GT
-
1
lo
w
er
s
it
s
o
u
tp
u
t
GT
-
2
in
cr
ea
s
e
s
its
o
w
n
to
k
ee
p
th
e
tie
p
o
w
er
at
a
co
n
s
tan
t
le
v
el.
All
GT
s
r
ea
ch
th
e
ir
o
p
tim
al
o
p
er
atin
g
p
o
in
t
in
ab
o
u
t
1
8
0
s
.
I
t
is
o
b
s
er
v
ed
th
at
t
h
e
m
a
x
i
m
u
m
d
ev
iatio
n
i
n
t
h
e
t
ie
p
o
w
er
i
s
o
n
l
y
0
.
4
MW
t
h
at
is
w
ell
w
it
h
i
n
t
h
e
r
eq
u
ir
ed
co
n
tr
o
l r
an
g
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8792
I
n
t J
A
p
p
l P
o
w
er
E
n
g
,
Vo
l.
8
,
No
.
3
,
Dec
em
b
er
2
0
1
9
:
2
3
4
–
248
242
Fig
u
r
e
1
0
.
T
ie
p
o
w
er
Fig
u
r
e
1
1
.
GT
p
o
w
er
T
h
e
HP
h
ea
d
er
p
r
ess
u
r
e,
an
d
th
e
m
aj
o
r
s
tea
m
i
n
f
lo
w
a
n
d
o
u
t
f
lo
w
f
r
o
m
t
h
e
HP
h
ea
d
er
ar
e
s
h
o
w
n
i
n
Fig
u
r
es
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u
r
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r
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r
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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243
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u
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x
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m
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m
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itiv
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k
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m
2
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n
d
m
ax
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m
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m
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eg
at
iv
e
d
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n
o
f
0
.
4
k
g
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m
2
;
w
ell
w
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th
in
t
h
e
r
eq
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ir
ed
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m
it
s
.
Fig
u
r
e
1
4
.
MP
h
ea
d
er
p
r
ess
u
r
e
Fig
u
r
e
1
5
.
MP
h
ea
d
er
f
lo
w
Evaluation Warning : The document was created with Spire.PDF for Python.