
ffi#ilfl,.l.i|
Mod".n
Po*"t
sv"ttt
An"lvtit
I
"Ihe
load
flow
problem
can
now
be
fully
defined
as follows:
Assume
a
certain
nominal
bus
load
configuration.
Specify
P6i+
iQci
at all
the
pQbuses
(this
specifies
P,
+
iQi
at
these
buses);
specify
Pcr
(this
specifies
P,)
and
lV,l
at all
the
PV buses.
Also
specify
lVll
and
6,
(=
0)
at the
slack
bus'
T.L,,- r- .,--iolrlac nf thp rrer-fnr u ere snecifie.d The 2n SLFE can now be
solved
(iteratively)
to
determine
the
values
of
the
2n
vanables
of
the
vector
x
comprising
voltages
and
angles
at the
PQ buses,
reactive
powers and
angles
at
fhe
pV
buses
and
active
and
reactive
powers
at the
slack
bus.
The
next
logical
step
is
to
comPute
line
flows.'
So
far
we have
presented,
the
methods
of assembling
a Yeus
matrix
and
load
flow
equations
and
have
defined
the
load
flow
problern
in its
genpral form
with
definitions
of
various
types
of
buses.
It
has been
demonstrated
that
load
flow
equations,
being
essentially
non-linear
algebraic
equations,
have
to be
solved
through
iterative
numerical
techniques.
Section
6.5
presents
some
of the
algorithms
which
are
used
for
load
flow
solutions
of
acceptable
accuracy
for
systems
of
practical
size.
At
the
cost
of
solution
accuracy,
it is
possible
to linearize
load flo-w
equations
by
making
suitable
assumptions
and
approximations
so
that
f'ast
and
eiplicit
solutions
become
possible.
Such
techniques
have
value
particularly for
planning
studies,
where
load
flow
solutions
have
to
be carried
out
repeatedly
but
a
high
degree
of
accuracy
is not
needed.
An
Approximate
Load
Flow
Solution
Let
us
make
the
following
assumptions
and
approximations
in the
load
flow
Eqs.
(6.27)
and
(6.28).
'
(i) Line
resistances
being
smaii
are
rreglecie,C
(shiint conductance
of overhead
lines
is always
negligible),
i.e.
P7,
the
active
power loss
of
the system
is
zero.
Thus
in
Eqs.
(6'21)
and
(6.28)
1it
=
90'
and
1ii
-
-
90o
'
(ii)
(6,
-
6r)
is small
(<
r/6)
so
that
sin
(6,
-
6o)
=
(6r
-
6r).
This
is
justified
from
considerations
of
stability
(see
Chapter
72)'
(iii) AII
buses
other
than
the
slack
bus
(numbered
as
bus
1) are
PV
buses,
i.e.
voltage
magnitucles
at
all the
buses
including
the
slack
bus
are
specified.
Equations
(6.27)
and
(6.28)
then
reduce
to
Pi
=lVil
lvkl
lYikl
(6i
-
6r);
i
=
2,3,
...,
n
(6.37)
n
et=-
'u,'
E
rvkrlyikr
cos
(6,-
6u)
+rv,r2
ry,,r;
i
=
r,2,...,
n
(6.39)
Since
lv,ls
are
specified,
Eq.
(6.37)
represents
a set
of
linear
algebraic
equationi
in 6,s
r,vhich
are
(n
-
l)
in
number
as
6,
is
specified
at the
slack
bus
(6,
=
0).
The
nth
equation
corresponding
to
slack
bus
(n
=
l)
is
redundant
as
the
reat
power
injected
at this
bus
is now
fully
specified
as
Wffi
nn
Pr
=
.I
Po,-
D
Po,; (Pr=
0).
Equations
(6.37)
can
be
solved
explicirly
i:2
i:2
(non-iteratively)
for
62,
61,
...,
d,
which,
when
substituted
in
Eq.
(6.3g),
yields
madehaveo..ouiLii*i;:;ffi
,"(;:;'iLT,",",T:,:T:J"#il-,1',T,7
simultaneously
but
can
be
solved
sequentially
[solution
of
Eq.
(6.3g)
follows
immediately
upon
simurtaneous
sorution
of
Eq.
(6.37)).
Since
the
sorution
is
non-iterative
and
the
dimension
is
retlucecr
to
(rr-l)
from
Zrt,
it
is
computationally
highly
economical.
consider
the
four-bus
sample
system
of
Fig.
6.6
wherein
line
reactances
are
indicated
in pu.
Line
resistances
are
considerld
negligible.
The
magnitude
of
all
the
four
bus
vortages
are
specified
to
be
r.0 pu.
itJuu,
powersLe
specified
in
the
table
below:
53=-
2
+7O,
--r
J
j0.15
jo.2
iP,ts
lVzl=
'l.o
.S.= I + i^
,,-.
-
I
Uz
Fig.
6.6
Four-bus
lossless
sample
system
2
Real
demand
Reactive
demand
Real
generation
Reactive
generatrcn
1
2
3
4
Por
=
1.0
Qot
=
0.5
Poz
=
7.0
Qoz
=
0.4
Poz
=
2.0
Qoz
=
1.0
Poq
=
2.0
Qoq
=
7.0
061
(unspecified)
Q62
(unspecified)
O63
(unspecified)
06a
(unspecified)
Pcl
='-
Pcz
=
4'0
Pct=o
Pcq=o
n
\-
,/--r
k:1
Figure
6.6
indicates
bus
injections
fbr
the
data
specified
in
the
table.
As
bus
voltages
are
specified,
all
the
buses
must
have
controllable
e
sources.
Il_r::t::
"_bviyus
from
the
data
rhar
buses
3
and
4
have
onry
e
sources.
Further,
slnce
ffie
system
is
assumeci
lossless,
the
real
power
generation
at
bus
I
is
known
a
priori
to
be
Pct
=
Por
*
Poz
*
pot
*
poo_
pcz
=
2.0
pu
Therefore,
we
have
7
unknowns
instead
of
2
x
4
=
8
unknowns.
In
the
present
problem
the
unknown
state
and
control
variables
are
{,
e,
60,
ect,
ecz,
ecz
and
Qc+.