ieee_spm_2000
TRANSCRIPT
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IEEE 2000 Summer Meeting Seattle, Washington, USA, 16th - 20th July, 2000
The single-phase RLC branch depicted in Fig. 1 will be the
basic network element in this paper.
R L Cvk vj
vCikj
Fig. 1: RLC Branch
The electrical behavior of this element can be described by
a set of two ordinary differential equations of first order:
Ckj
kjjk vdt
diLiRvv ++= (1)
kjC i
dt
dvC = (2)
Equation (1) is general and holds for the particular cases
whereL orR are zero. However, when there is no capacitor in
the branch, (2) must be replaced by:
0=Cv (3)
4 Descriptor System for Single-phase RLC NetworksA given network can be represented for harmonic studies by
the interconnection of single-phase RLC elements. For each
element, (1) and (2) can be written in matrix form:
jkC
kj
C
kjvv
v
iR
v
i
dt
d
C
L
0
1
0
1
01
1
0
0
+
+
=
(4)
where the current kji through the inductor and the voltage Cv
across the capacitor are the chosen state variables. Symbols
kv and jv denote the voltages at nodes kandj, respectively.
If there is no capacitor, (4) needs to be modified:
jkC
kj
C
kjvv
v
iR
v
i
dt
dL
0
1
0
1
10
1
00
0
+
+
=
(5)
The electric network model contains two differentialequations for each existing RLC branch and one algebraic
equation (the KCL) per system node. After interconnecting
the equations for all RLC branches, the following descriptor
system equation is obtained [1], [2], [5]:
uBxAxT += (6)xCy = (7)
where y and u are the nodal voltage and current vectors,respectively. The dimensions of the square matrices A and T
are ml nn +2 , where ln is the number of RLC branches and
nn is the number of network nodes.
A simple RLC circuit with one redundant state is used in [2]
to describe the network modeling by means of the descriptorsystem technique.
5 Harmonic Impedance seen from a System NodeApplying the Laplace Transform to (6) and (7):
( ) ( ) ( )sss uBATx 1= (8)
( ) ( )ss xCy = (9)
where ( )sx , ( )su and ( )sy are the Laplace transforms ofx, uand y, respectively.
From the above two equations:
( ) ( ) ( )sss uBATCy 1= (10)
The impedance matrix ( )sZ can be defined from (10):
( ) ( ) BATCZ 1 = ss (11)
The kkz element of ( )sZ is equal to the ( )knl +2 diagonal
element of ( ) 1 ATs [1], [2], [5]:
( ) ( ) ( )knkk lssz += 2
1diag AT (12)
Let kT and kA be the matrices obtained by canceling the
knl +2 row and column of the matrices T and A,respectively. Thus, the knl +2 diagonal element of
( )
1
ATs is given by [1], [2], [5]:
( ) ( )[ ]( )( )( )AT
ATAT
== +
det
detdiag 2
1
s
sssz kkknkk l (13)
Equation (13) is a generalization for descriptor systems of
its counterpart [3], [4] developed for conventional state space
systems. It shows that:
The system poles are the generalized eigenvalues [16] ofthe matrix pair { }TA , :
( ) iiis vTvAAT 0det == (14)
The zeros, associated with the self-impedance of node k,are the generalized eigenvalues of the matrix pair
{ }kk TA , : ( ) ikiikkks vTvAAT == 0det (15)
where i and i are the generalized eigenvalues associatedwith the pairs { }TA , and { }kk TA , and iv and iv are theirassociated generalized eigenvectors.
6 Test SystemThe results described in this paper relate to the 3-bus testsystem studied in [1], [2], [4] and [5]. This system can be
modeled by the interconnection of several RLC branches [4],
[5], as shown in Fig. 2.
bus 1
bus 2 bus 3
Lcc
L12
R12
R2
L2
Ih2 Ih3 L3 R3
R13
L13
Ih1
C2
C3
C1
Fig. 2: Test System
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IEEE 2000 Summer Meeting Seattle, Washington, USA, 16th - 20th July, 2000
The system frequency is 50Hzand the numerical values of
its elements are given in Table 1.
Table 1: System parameter values
Inductance (mH) Resistance () Capacitance (F)
ccL 8.0 2R 80.0 1C 23.9
2L 424.0 3R 133.0 2C 8.0
3L 531.0 12R 0.46 3C 11.9
12L 9.7 13R 0.55
13L 11.9
The impedance moduli as a function of frequency, seen
from each system bus (self-impedance), are shown in figures3, 4 and 5.
0
5
10
15
20
25
30
35
40
45
0 100 200 300 400 500 600 700 800 900 1000
Frequency (Hz)
ImpedanceModulus()
Fig. 3: Self-impedance seen from bus 1
0
10
20
30
40
50
60
70
80
0 100 200 300 400 500 600 700 800 900 1000
Frequency (Hz)
ImpedanceModulus()
Fig. 4: Self-impedance seen from bus 2
0
10
20
30
40
50
60
70
80
0 100 200 300 400 500 600 700 800 900 1000
Frequency (Hz)
ImpedanceModulus()
Fig. 5: Self-impedance seen from bus 3
The network model has a total of eight poles: three pairs of
complex conjugate poles plus other two real poles. These
poles are the generalized eigenvalues of finite modulus of the
matrix pair { }TA, calculated by the QZ eigenroutine [16].The total number of eigenvalues calculated by this routine is
actually equal to 23 (the order of the matrices A and T).Therefore, other 15 generalized eigenvalues of infinite
modulus corresponding to the algebraic equations are also
obtained.
The pole-zero spectra of the Test System are shown in Fig.
6, for the self-impedance of each one of the three buses. In
this figure, iAZ and iBZ denote the two pairs of complex
zeros seen from bus i ( )3,1=i . Note that only those poles(three complex pairs) and zeros (two complex pairs per bus)
with non-zero imaginary parts were plotted in this figure.
P2
P3
P1
Z1B
Z1A
Z2A
Z2B
Z3A
Z3B
0
100
200
300
400
500
600
700
800
-900 -800 -700 -600 -500 -400 -300 -200 -100 0
Real Part (s-1
)
ImaginaryPart(Hz)
System poles Zeros seen from bus 1
Zeros seen from bus 2 Zeros seen from bus 3
Fig. 6: Pole-Zero Spectra of the Test System
It is worth noting that the shapes of the impedance plots,
shown in figures 3, 4 and 5, may be sketched by hand from
the inspection of the associated pole-zero spectra. One can
observe, for instance, that the two zeros seen from bus 1
( AZ1 and BZ1 ) are close to pole 2P (488Hz) eliminating the
peak around this frequency value, in the plot of Fig. 3. Note
also that the second zero seen from bus 3 ( BZ3 ) is close to
the pole 3P (722Hz), causing a large reduction at this
frequency in the plot shown in Fig. 5.
7 Shifting a Pole or a Zero by Means of a SingleTuning Filter
This section describes a Newton-Raphson algorithm to
shift a pole or a zero to a specified location in the complex
plane by varying the parameters of a single tuning filter. The
method is then applied to solve a harmonic problem in the
3-bus test system through the addition of a single tuning
filter.
Letf be the frequency value inHz(imaginary part divided
by 2 ) of a chosen pole or zero of a system; rf the targetvalue forf (in other words, f should become equal to rf at
the solution) and fC and fL the values of capacitance and
inductance of a single tuning filter that are assumed to vary,
connected at a system bus as shown in Fig. 7.
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IEEE 2000 Summer Meeting Seattle, Washington, USA, 16th - 20th July, 2000
System bus
Z
Other Shunt
Elements
Lf
Cf
Rf
Fig. 7: Single tuning filter connected at a system bus
One may define:
ff ,LCff = (16)
The mismatch function of the frequency of the selected
pole or zero can be defined by:
( ) ( %100,
,
=
r
rffff
f
fLCfLCg (17)
The mismatch function of reactance can be defined by:
( )( ) ( )
( )%100
=
fc
fcfl
ffCx
CxLx,LCr (18)
where:
ftl Lx = (19)and
1
ft
cC
x
= (20)
The symbol t denotes the tuning frequency of the filter.
In order to shift the initial value of the frequency of the
selected pole or zero (f) to the target value (fr), while
keeping the filter properly tuned, the following mismatch
vector equation must be satisfied
=
0
0
r
g(21)
which implies in simultaneously solving (17) and (18).Applying the Newton-Raphson method to (21), the following
recurrence formula is obtained
( )k
kk
f
fk
f
f
r
g
L
C
L
C
=
+ 11 J (22)
where the index kdenotes the iteration number and J is the
Jacobian matrix:
=
ff
ff
L
r
C
r
L
g
C
g
J (23)
The expressions for the Jacobian matrix elements in the
first row are given by:
100
p
f
fp
g
r
=
(24)
werep denotes a filter parameter ( fC or fL ).
The values of p
f
correspond to the imaginary parts
(divided by 2 ) of the eigenvalue sensitivities, directlyobtained from (see [5]):
vTA
w 1
=
ppkp(25)
where v and w are the right (column) and the left (row)
generalized eigenvectors of { }TA , associated with the
generalized eigenvalue fj 2+= , and vTw =k .
The expressions for the elements located in the second row
of the Jacobian matrix are derived below.
Differentiating (18) with respect to fC :
1
100
=
cfl
f xCx
C
r(26)
Differentiating (18) with respect to fL :
f
l
cf L
x
xL
r
=
100
(27)
Differentiating (19) with respect to fL and the inverse of
(20) with respect to fC :
tcff
lxCL
x
= =1 (28)
Substituting (19) and (28) into (26), yields:
ftf
i LC
r100
2=
(29)
Similarly, from the manipulation of (20), (28) and (27),
one obtains:
ftf
CL
r 2100=
(30)
8 Problem ExampleAssume that current source 1hI , shown in Fig. 2, has
negligible modulus while the sources 2hI and 3hI contain
5th
and 11th
harmonic components, respectively.
The impedance value seen from bus 2 at 250 Hz
(5th
harmonic) is 44.48 and the impedance value seen frombus 3 at 550Hz(11
thharmonic) is 44.12 . Therefore, the 5th
and 11th
harmonic distortions (neglecting the transfer
impedances) are given by:
==
3Busfor12.44
2Busfor48.44
1111
55
IV
IV(31)
Assume that these distortions have exceeded their
individual limits. The next two sections describe the
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IEEE 2000 Summer Meeting Seattle, Washington, USA, 16th - 20th July, 2000
traditional and proposed solutions to reduce these harmonic
distortions.
8.1 Traditional SolutionThe traditional solution for this problem would involve the
installation of a 5th
harmonic single tuning filter at bus 2 and
a 11th harmonic single tuning filter at bus 3.
As an example, consider that a 1 F capacitor is used tobuild a 11
thharmonic single tuning filter. This implies that
the inductor value must be 83.74 mH. It was considered a
filter quality factor of 75. The frequency plots for the self-
impedance seen from bus 2 and 3, after the installation of the
filter at bus 3, are shown in Fig. 8 and Fig. 9.
Fig. 8 shows that with the installation of the 11o
harmonic
filter at bus 3, the impedance seen from bus 2 at 250Hz
(5th
harmonic) remains practically unchanged (41.67 ).Therefore, the traditional solution to this problem also callsfor the installation of a 5
thharmonic filter at bus 2.
0
10
20
30
40
50
60
70
80
0 100 200 300 400 500 600 700 800 900 1000
Fequency (Hz)
ImpedanceModulus()
Fig. 8: Impedance modulus seen from bus 2 - 11o harmonic filter at bus 3
0
10
20
30
40
50
60
70
80
0 100 200 300 400 500 600 700 800 900 1000
Fequency (Hz)
ImpedanceModulus()
Fig. 9: Impedance modulus seen from bus 3 - 11o
harmonic filter at bus 3
8.2 Proposed SolutionThe frequencies (imaginary parts divided by 2) of the
complex conjugate network zeros of the self-impedances of
the three buses (series resonance), as well as their sensitivitieswith respect to the inductances and capacitances of the Test
System, considering the 11th
harmonic filter installed at bus 3,
are presented in Table 2.
The sensitivities are normalized, being given inHz/per unit
of change of nominal parameter value.
Table 2: Zero sensitivities - 11th harmonic filter at bus 3
Node 1 Node 2 Node 3
1 2 3 1 2 3 1 2 3
f(Hz) 395 565 593 317 558 653 382 550 704
ccL 0 0 0 -42 -33 -53 -88 0 -47
2L 0 -7 0 0 0 0 -5 0 -2
3L -4 0 -1 -4 0 -1 0 0 0
12L 0 -290 0 -34 -27 -44 -37 0 -289
13L -173 0 -35 -73 -13 -158 -59 0 -32
fL -21 0 -264 -6 -206 -72 0 -275 0
1C 0 0 0 -30 -76 -173 -85 0 -189
2C 0 -269 0 0 0 0 -109 0 -145
3C -152 0 -68 -108 -2 -99 0 0 0
fC -46 0 -226 -19 -201 -51 0 -275 0
Table 2 shows that the zero 1 seen from bus 2 (317 Hz)
presents considerable sensitivities with respect to the filter
parameters ( fC , fL ). This suggests the possibility of shifting
this zero to the frequency of 250Hz, by changes in fC and
fL , minimizing the 5th
harmonic distortion at bus 2. The
series connection of these new values of fC and fL must
obviously continue to carry out its function as a 11th
harmonicfilter.
Applying the Newton-Raphson method to solve thisproblem, yielded the optimized values of FCf = 9.20 and
mHLf 9.11= in 3 iterations with absolute value of themismatch functions less than 0.1 %. The filter quality factorwas kept equal to 75.
The frequency response diagram for the self-impedance
seen from bus 2 and 3 for these new parameters of the 11th
harmonic filter, are depicted in Fig. 10 and Fig. 11. The new
frequency values of the poles and zeros are presented in
Table 3.
0
10
20
30
40
50
60
70
80
0 100 200 300 400 500 600 700 800 900 1000
Fequency (Hz)
ImpedanceModulus()
Fig. 10: Impedance modulus seen from bus 2 - optimized filter at bus 3
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