SlideShare a Scribd company logo
1 of 9
Download to read offline
Electric Power Systems Research, 10 (1986) 25 - 33

Optimal Output Feedback
Torsional Oscillations

25

D e s i g n o f a Shunt Reactor C o n t r o l l e r

for Damping

J. C. BALDA, E. EITELBERG and R. G. HARLEY
Department of Electrical Engineering, University of Natal, King George V Ave., Durban 4001 (Republic of South
Africa)
(Accepted September 4, 1985)

SUMMARY
Suppression o f the torsional oscillations o f
a turbogenerator by means o f a shunt reactor
placed at the turbogenerator terminals has
been proposed by others and would appear to
be the most promising o f all the countermeasures suggested so far. This paper investigates the damping o f subsynchronous resonance (SSR ) oscillations by using such a shunt
reactor stabilizer and placing it at the high
voltage instead o f the low voltage side o f the
generator step-up transformer. It shows h o w
the shunt reactor controller (SRC) is designed
by employing optimal o u t p u t feedback techniques. A digitally c o m p u t e d step-by-step
solution o f the 31 non-linear differential
equations yields the transient response o f the
non-linear system and illustrates the stabilizing effect o f the shunt reactor controller, even
for an initially unstable plant.

Fig. 1. Instead of using the classical eigenvalue
approach [4], the linearized controller design
is carried o u t by employing optimal o u t p u t
feedback techniques, based on deterministic
interpretation by Eitelberg [6]. The wellknown linear quadratic performance index is
minimized around a chosen operating point
b y applying gradient and line searching techniques [7] to the system's linearized differential equations. The closed-loop transient
response of the non-linear turbogenerator
system w i t h o u t and with the designed linear
optimal controller is then predicted by digital
simulation for a 100 ms three-phase shortcircuit at the infinite bus. Finally, the importance o f the shunt reactor location is
emphasized by comparing the results obtained
in ref. 4 (shunt reactor located at the turbogenerator terminals) with those obtained
when the shunt reactor is placed at the high
voltage side of the step-up transformer for an
unstable level of series compensation (60%).

INTRODUCTION
RI

A power station sited in the Western Cape
area in South Africa has recently been commissioned and is transmitting p o w e r to the
national grid via a 1400 km, 400 kV series
capacitor compensated AC line. The probability of unstable torsional oscillations occurring in this system, as well as a number of
possible countermeasures, have been investigated and reported elsewhere [1 - 5], together
with a complete set of data for the system.
This paper extends the work started in
ref. 4 by also investigating SSR damping using
a thyristor-controlled shunt reactor b u t connecting it to the high voltage side of the
generator step-up transformer as shown in
0378-7796/86/$3.50

×l

×c

~r•

r~

TURBI~ T G S
SA E

~ a~J ,
~ ~ J
~

> TRANSFORMER

II x2

LJ
F

l J ~i
s Y

SHUNT REACTOR
CQNTROLLER
Fig, 1. I n f i n i t e h u s - t u r b o g e n e r a t o r

system.

© Elsevier Sequoia/Printed in The Netherlands
26

and

MATHEMATICAL MODEL OF THE SYSTEM

The dynamic behaviour of the system in
Fig. 1 is described by the differential equations which represent:
(a) the two-axis model for the turbogenerator [4, 8] ;
(b) the rotational movement of the six
turbogenerator masses with their inertias,
damping and spring constants [4] ;
(c) the dynamics of the AC network [4] ;
(d) the turbogenerator automatic voltage
regulator (AVR) and governor [4]. During the
optimization task the AVR loop cannot be
omitted because some of the AVR time constants are small enough to influence the total
behaviour of the turbogenerator. The response of the governor loop is such that it has
no major influence on the suppression of SSR
and therefore its representation is neglected
for optimization purposes.
These 26 differential equations are linearized around a steady state operating point
and re-arranged into the following state
variable form for the deviations from this
operating point:

,SYl = K~r[,SC0G + (Wl -- Wz) ,Sz] : ,SUl

(6)

The plant and controller equations (eqns.
( 1 ) - (6)) are combined into an augmented
model [6]. The state, input and o u t p u t
vectors of the augmented system are, respectively,

AX=

Az

]

,SU=

,SUz

,Sz J

(7)
and the state, input and o u t p u t matrices are
re-written as follows:

[Ap]
[A] = [01

[01 1
[0]

[BI = [ [B,]

[011
U]

[c] = [[cp]
[o]

[01]

[01

(8)

[;1

, 5 2 , : [Ap] ,SX, + [Bp] ,SU,

(1)

The linearized augmented system equations
become

,SY, : [C,] ,SX,

(2)

A ) ( = [ A ] A X + [ B ] AU

By assuming that the change in the generator
voltage, by action of the shunt reactor, is
negligible, the modulation of the thyristor
currents is equivalent to modulation of the
inductance of the shunt reactor around some
nominal value L3nom. Under these conditions
the relationship between the controller output and the shunt reactor inductance can be
written as [4]
L3 = (1 + ,SYl)L3nom

(3)

The controller function SRC(s) in Fig. 1
was chosen to be
,SY 1

,5~G

-

K~r(s + W1)

s + W2

(4)

where L 3 is the shunt reactor inductance;
,Sy.~ the controller o u t p u t = ,SU~; and ,5co~ =
,56G is the generator rotor speed deviation.
The shunt reactor controller is represented
by the following linearized state-space equation:
Ak = ACoG -- W2 Az = ,5U2

(5)

(9)
AY = [CI AX

OPTIMAL OUTPUT F E E D B A C K CONTROL

This theory is needed to find those values
of K~r, W1 and Wz in the SRC which will
ensure optimal system response after an
impulse-type disturbance, b u t nevertheless
also stabilize the system during steady state
operation.
The problem to solve is: find the feedback
gain matrix [K0] for the dynamic controller
which minimizes the well-known linear
quadratic performance index given by
I = f ( A X w [Q] AX + AU w [R] AU) dt

(10)

to

according to the dynamic o u t p u t feedback
control law

AU = [K0] `SY

(11)
27
where [Q] and JR] are weighting matrices of
the state and input variables and [K0] is the
feedback gain matrix for the dynamic controller. [Q] is a positive semidefinite matrix
and [R] is a positive definite matrix.
The solution of eqn. (9) with eqn. (11) as
a function of the transition matrix [0] is

a b o u t AXo, it is advisable to consider [Qo]
equal to the identity matrix [I].
A necessary condition for the gain matrix
[Ko] to be a minimum is t h a t the gradient of
the performance index with respect to any
element of [Ko] will be zero. The i,jth element of the gradient can be written as

z~X = [O(t, to)] AX0
= exp{([A] + [B] [Ko] [C])(t -- to)) AXo
(12)
Substitution of eqns. (11) and (12) into eqn.
(10) yields

I = AXoWf [0(t, to)]W([Q]

~K0 ij

[Q0]

= 0

(17)

By differentiating eqn. (15), solving the
resulting Lyapunov equation to find (O[P]/
[K0]] and making use of some trace properties, the gradient of the performance index
becomes

~[K0]

to

- tr

- 2.0 ( [ B T][P] + [ R ] [ K o ] [ C ] ) [ M ] [ C T]

(18)
-4- [C T] [Ko T] [RI [Ko] [C] )[¢(t, t0)] dt AX 0

(13)

([A] + [B][Ko][C])[M] + [M]([A]

Equation (13) is re-written as
I = AXo w[P(to)] AXo

where the matrix [M] is the solution of the
L y a p u n o v equation given by

(14)

where [P(to)] is a symmetric positive semidefinite matrix defined by

+ [s][go][C]) T+ [Qo] = [0]

(19)

From eqns. (17) and (18) the feedback gain
matrix [K0] is of the form
[K0] = - - [ R ] - I [ B w] [P] [M] [C T]

[P(to)] =

J[cp(t, to)lW([Q]

X ( [ C ] [M] [ c T ] ) -1

(20)

to

+ [CTKoTRKoC])[O(t, to)] dt
= [P]
where [P] is the solution of the Lyapunov
equation
[P]([A] + [BKoC]) + ([A] + [SKoC])v[P]
+ ([Q] + [CTKoTRKoC]) = [0]

(15)

for [P] constant.
From an analysis of eqn. {14), it is noted
that the performance index depends u p o n the
u n k n o w n initial states of the linearized state
vector. To overcome this problem it has been
suggested that a new performance index,
defined as its expected mean value [9], i.e.
I = tr{[P] [Qo]}

(16)

where tr means trace and [Qo] = E{AXo AXo w),
should be minimized. If nothing is known

A more detailed description of the m e t h o d
outlined above appears in ref. 6.
The sufficient optimality conditions for
the o u t p u t feedback case are not y e t k n o w n
[9]. Furthermore, the coupled non-linear
eqns. (15) and (19) cannot be solved analytically. Therefore, a numerical gradient search
technique to minimize the performance index
is employed. This gradient search technique
can be interpreted as a recursive method:
(a) guess a stable value for the feedback
gain matrix [K0] ;
(b) solve the L y a p u n o v eqns. (15) and
(19);
(c) calculate the gradient of the performance index given by eqn. (18);
(d) by using gradient information a local
minimum for the performance index I is
calculated by the quadratic convergence descent m e t h o d presented in ref. 7. This m e t h o d
searches for the minimum of the function
along the line direction defined by
28
[S] = --[H] - -

[K0]

(21)

where [H] is a symmetric positive definite
matrix which is initially chosen to be the
identity matrix.
The feedback gains are then modified according to
[K0] k+l = [K0] k + fl[S]
where 13[S] is the step size matrix and k is the
iteration number.
By applying a convenient stopping criterion
a stable m i n i m u m in the direction of search is
located.
(e) Check if the local minimum has been
found. If this is so, stop the program, otherwise return to step (b).
Looking again at eqn. (17) it is worth mentioning t h a t the optimization task can be
done with respect to any number of elements
in [K0]. The designer is free to fix the values
of some parameters and optimize with respect
to the others.

CONTROLLER DESIGN
The design of the shunt reactor controller
(SRC) is carried out around a typical steady
state operating point corresponding to turbogenerator active power PG = 0.9 p.u., terminal
voltage VG = 1.12 p.u., infinite bus voltage
Vb = 1.0 p.u. and a level of series compensation K = (Xc/XL) × 100.0% = 30%, where Xc
is the series capacitor reactance and XL is the
sum of the subtransient reactance of the
generator and the inductive reactances of the
step-up transformer and the transmission line.
After linearization around the above operating point, the complete system is represented by 27 linear differential equations with
only two inputs, as defined in eqns. (5) and
(6). The feedback gain matrix for this case has
the following form:

[ Ksr
[K°] =

1.0

Ks"(W1--W2)l

(22)

cases were considered by weighting only one
diagonal factor in [Q] at a time while the rest
of the diagonal elements were zero and the
two elements in [R ] were given a small value.
A small weighting value for the generator
speed factor in [Q] produces a non-minimum
phase optimum controller with a small negative gain value. By increasing this weighting
factor, stable o p t i m u m controllers are found
and the controller gain becomes positive and
increases. By adding more weight to the
diagonal factors corresponding to the generator angle and currents, the controller gain is
increased and the pole and zero move closer
to the origin. Weighting of the shunt reactor
current states produces o p t i m u m parameters
with a zero on the right-hand side plane and
a negative gain. It was found that weighting
those diagonal elements corresponding to
generator flux linkages and shunt reactor controller states produced optimum parameters
with a controller zero on the right-hand side
plane and a small negative gain value. Some of
the results from the optimization programme
are shown in Table 1.
The controller design cannot only be done
by considering results obtained from the
optimization programme since these results
were obtained by linearizing the system
around a steady state operating point. System
optimal behaviour has been achieved around
this point but did not take account of nonlinearities. Therefore several transient cases
were digitally simulated for different sets of
SRC parameters. From these results (not
shown here) it was noted that small values of
Ksr slow the system response down, whilst
higher values of Ksr speed it up. By increasing
Ksr the peak of the transient torques is not
significantly reduced, instead, the electrical
torque starts to oscillate due to the control
action of damping SSR and reaches peaks
(equivalent to those obtained when the fault
was initially applied) before it finally settles
down.
After considering all these factors the SRC
parameters were chosen as

--W 2
Ksr = 0.17;

In order to find an optimal controller
design that reduces the peak of the transient
torques and cancels torsional oscillations and
to establish how the weighting of a particular
element affects the optimal values, several

W~ = 3384.0;

W2 = 655.2

which corresponds to a generator angle
weighting factor of 0.1 and represents a compromise between fast response and SRC
effort.
29
TABLE 1
O p t i m u m f e e d b a c k p a r a m e t e r s for o n l y o n e n o n - z e r o weighting factor in [Q] and [ R ] = diag[0.1,
State

Weight in

[Q]

0.1
Gen. s p e e d
Ks~
WI

W2
Gen. angle
Ksr
Wl

W2
Gen. c u r r e n t
Ksr
Wl

W2

0.1]

1.0

- - 8 . 9 5 X 10 -2
--4450.0
1100.0

10.0

100.0

1.35
502.0
231.0

1.28
100.00
8.10

1.30
95.50
4.34

0.17
3384.0
655.2

1.53
101.9
10.4

1.74
89.80
0.26

1.75
89.63
8.3 X 10 -2

0.17
974.0
337.5

1.45
97.10
5.21

1.47
92.01
0.71

1.453
91.60
0.27

--0.32
--33.0
1274.0

--0.45
--111.3
787.0

--0.36
- - 204.2
430.4

Shunt current

K~
Wl

W2

--0.31
--232.3
345.5

SRC(s)

g~
W1
W2
F l u x linkages
Ks~

wl
w2

- - 3 . 4 X 10 -2
--18.5
1634.0

- - 3 . 4 x 10 -2
--20.3
1640.5

- - 3 . 2 x 10 -2
--21.2
1697.5

- - 3 . 4 X 10 -2
--18.4
1633.3

- - 3 . 4 x 10 -2
--19.5
1633.2

- - 3 . 4 x 10 -2
--31.8
1632.6

- - 6 . 6 x 10 -2
--79.4
1626.0

- - 2 . 7 4 X 10 -2
--1664.70
1593.3

RESULTS

This section presents the transient response
of the turbogenerator, with and w i t h o u t the
SRC, when the system was subjected to a
100 ms temporary three-phase short-circuit
at the infinite bus for the initial conditions
stated earlier. The turbogenerator was also
equipped with the AVR and governor shown
in ref. 4. The complete system is described by
31 non-linear differential equations which are
integrated by a 5th-order Kutta-Merson algorithm.
Figure 2 shows the system transient response when the SRC is out of service for the
initial conditions stated earlier; the system
remains stable and electrical torque oscillations reach a peak of 1.7 p.u. Figure 3, which
contains the transient response of the turbogenerator with the SRC for the same disturbance, shows t h a t the LP3-GEN torque is

better damped (than in Fig. 2) after 0.5 s
since the subsynchronous oscillations took
about that long to start building up in Fig. 2.
In order to examine the behaviour of the
system when the level of series compensation
is large enough (60%) to correspond to an
unstable case, Fig. 4 is used to illustrate the
turbogenerator response when the SRC is out
of service; subsynchronous oscillations start
to build up and grow with time. Figure 5
shows the system behaviour when the shunt
reactor with the SRC designed in ref. 4 is
placed at the generator terminals. The system
is stabilized and torque oscillations in the LP3GEN shaft section reach a peak of 4.0 p.u.
Subsynchronous oscillations are still present
after 3.0 s but they have considerably decreased. The ability of the SRC to stabilize
the system and cancel subsynchronous oscillations when the shunt reactor is located at the
high voltage side of the generator step-up
30
GEN

7. S0

0:

SPEED
I

DEV

I

s. oi

0. 00

~.~ - z

st

-S.O

0. 00

'. 50

L 00

L so

2,00
'

TIME
TORQUE LP3-QEN

OR

I

~. so

0. 00

3.00

.50

SEC.
i

I

I

1.00

"1.50

2.00

TIME

2.

i

ELECTRIC TORQUE

00

I

~ SO

3. 0 0

SEC.
i

I

I

i

£~1.s
I.
~ 00

1.0

1.00

0.

0.00

-t

00.

(3
p--

-1.08

'. so

0.00

L 00

L ~o

~. 00

TIME

~. so

~. 00

-1.0

0. 00

'. so

L 00

L so

i

2. 00

TIME

SEC.

~. ~o

3. 0 0

SEC.

Fig. 2. Simulated t r a n s i e n t r e s p o n s e o f the t u r b o g e n e r a t o r ( w i t h o u t an SRC) following a 100 ms t h r e e - p h a s e
short-circuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 30%.

QEN SPEED DEV

5. 0 0

SHUNT CURRENT

r

1.

SOF

[
4. O~t-

0. 00

.50

i. 00

1. 50

2. 00

TIME
3. 0

2. 50

3. 00

0. 00

.50

SEO.

TORQUE LP3-QEN
~

1.00

1. SO

2. 00

TIME

-

2. 00

ELECTRIC TORQUE

I

2. 50

3. I~

SEC.

i

1.0

I

II

I

I

il ' ` " " i
u a ' " "" ' 1
~ , ..................

"...':"...

,

''

"

1.0~

(3

0. 00.

-1. 00,
0. 00

I

.50
TIME

i
1.00

1. 5 0

2. 00

2. 50

SEC.

3. 00

0. 00

.50

TIME

1.00

I. 50

2.

00

2. 50

3 . 0;

SEC.

Fig. 3. Simulated transient r e s p o n s e o f the t u r b o g e n e r a t o r ( w i t h an SRC) following a 100 m s t h r e e - p h a s e shortcircuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 30%.
31
GEN SPEED DEV

10. 0~

I

l

i

I

L 00

L s,

~. 00

~ 0~

-5. 0 0

ffl
-10. 0 0

i
0. 0 0

.50

6.00

~. so

3.0B

.50
TIME

0. 0 0

SEC.

TIME
TORQUE L P 3 - G E N
q
I

I

t

1.50

2.00

~.50

2.00

2. 50
SEC.

3.00

ELECTRIC TORQUE

2. 5¢

I

1. B0

2. 00

d

4. e a
1.52

2.00 ~

1. OR

• 5R

0. 0 ~

0. 0~

~ -2. OZ
D

-. 5R

-4. 0~

-1.0~

1.50

0. 0 0

~.00

~.SB

2• 0 0

TIME

~50

3-0B

¢.50

0. 0 0

SEC.

~.00

TIME

2i . 5 0

3. 00

SEC.

Fig. 4. Simulated t r a n s i e n t r e s p o n s e o f t h e t u r b o g e n e r a t o r ( w i t h o u t an SRC) following a 100 ms t h r e e - p h a s e
short-circuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 60%.

GEN S P E E D DEV

1.O
R

SHUNT CURRENT

~

5

0.Of
0.00
- . 5E

, 0 -5. 00
,

-1.0I

m
- 1 0 . 0~,

0. 0o

. so
TIME

I. o~

I. s0

i 00

£ s0
SEC.

3. 0o

i

/

i

i

TIME
FI FKTRTC

TORQUE LP3-GEN

.

-1.5

i
SEC.

Tnl~Oll~

4. o

0. 0 0

.50

TIME

1.00

1.50

2. 0 0

2. 50
SEC.

3. 0 0

0.00

.50
TIME

1.00

1.50

2.00

2-50
SEC.

3-$

Fig. 5. S i m u l a t e d t r a n s i e n t r e s p o n s e o f t h e t u r b o g e n e r a t o r and t h e s h u n t r e a c t o r placed at t h e g e n e r a t o r terminals
(with an SRC) following a 100 m s t h r e e - p h a s e s h o r t - c i r c u i t at t h e infinite bus at a series c o m p e n s a t i o n level o f
60%.
32
GEN SPEED
i

DEV

1.5~

i

5.0£

2. 52

i

0. 05

L.oJo
-2. 5EL

£

/

SHUNT C U R R E N T

I.$~

~.BB

u
-1.5

-7. 5

~.~

, , 00

TIME

SEE.

~1 ~r'T~TF"

TORQUE LP3-QEN
4.

TIME

~.~

SEC.

Tn#f311~

0~
1

3.,

I. ,J

pTIME

SEE.

TIME

SEC.

Fig. 6. S i m u l a t e d transient response o f the turbogenerator and the shunt reactor placed at the high voltage side o f
the step-up transformer (with an S R C ) f o l l o w i n g a 100 ms three-phase short-circuit at the infinite bus at a series
c o m p e n s a t i o n level o f 60%.

transformer is shown in Fig. 6. The peak
transient torque in the LP3-GEN section is
3.4 p.u. and the torsional oscillations are
mostly eliminated after 2.0 s.
CONCLUSIONS

This paper has shown that subsynchronous
resonance can be counteracted in an efficient
way by means of a shunt reactor connected at
the high voltage side of the generator step-up
transformer. From an analysis of the optimal
programme results together with the system
transient responses, values for the controller
parameters were chosen which reduce the
peak of the transient torques and eliminate
unstable torsional oscillations. It has also
illustrated that the SRC controller is capable
of damping subsynchronous oscillations, even
when the level of series compensation is as
high as 60% and in the face of a severe disturbance.
ACKNOWLEDGEMENTS

The authors acknowledge the assistance of
R. Peplow, H. L. Natrass and D. C. Levy of

the Digital Processes Laboratory of the
Department of Electronic Engineering, University of Natal. They are also grateful for the
financial support received from the CSIR and
the University of Natal. 3. C. Balda is grateful
to Rotary International for financial support.
REFERENCES
1 D. J. N. L i m e b e e r , R. G. Harley and S. M.
Schuck,
S u b s y n c h r o n o u s r e s o n a n c e o f the
K o e b e r g turbo-generators and o f a laboratory
micro-alternator s y s t e m , Trans. S. Aft. Inst.
Electr. Eng., 70 (1979) 278 - 297.
2 D. J. N. L i m e b e e r , R. G. Harley and M. A.
L a h o u d , Suppressing s u b s y n c h r o n o u s resonance
w i t h static filters, Proc. Inst. Electr. Eng., Part C,
128 (1981) 33 - 44.
3 D. J. N. L i m e b e e r , R. G. Harley and M. A.
L a h o u d , The suppression o f s u b s y n c h r o n o u s
resonance w i t h the aid o f an auxiliary e x c i t a t i o n
control signal, Trans. S. Afr. Inst. Electr. Eng., 74
(1983) 198 - 209.
4 M. A. L a h o u d and R. G. Harley, Theoretical
s t u d y o f a shunt reactor s u b s y n c h r o n o u s resonance stabilizer for a nuclear p o w e r e d generator,
Electr. Power Syst. Res., 8 ( 1 9 8 5 ) 261 - 274.
5 R. G. Harley and J. C. Balda, S u b s y n c h r o n o u s
resonance damping by specially controlling a
parallel H V D C link, Proc. Inst. Electr. Eng., Part
C, 132 (1985) ] 5 4 - 159.
33
6 E. Eitelberg, Perturbationstechniken bei der Op-

timierung

grosser

linearer

Regulungssysteme,

VDI-Verlag,
Dusseldorf,
1983,
ISBN-3-18146006-7.
7 R. Fletcher and M. J. D. Powell, A rapidly convergent descent
method for minimization,
Comput. J., 6 (1963) 163 - 168.

8 N. Jaleeli, E. Vaahedi and D. C. MacDonald,
Multimachine system stability, Proc. PICA Conf.,
Toronto, May 1977, IEEE Publ. 77 CH 1131-2PWR, pp. 51 - 58.
9 B. D. O. Anderson and J. B. Moore, Linear Optimal Control, Prentice-Hall, Englewood Cliffs,
NJ, 1971.

More Related Content

What's hot

Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorNovelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorIRJET Journal
 
1.design of svc using mrac
1.design of svc using mrac1.design of svc using mrac
1.design of svc using mracRav Venkatesh
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentIJERD Editor
 
Simulation of Robot Manipulator Trajectory Optimization Design
Simulation of Robot Manipulator Trajectory Optimization DesignSimulation of Robot Manipulator Trajectory Optimization Design
Simulation of Robot Manipulator Trajectory Optimization DesignIJRESJOURNAL
 
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...ijaia
 
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...ijtsrd
 
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWM
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWMPSO and SMC based Closed Loop V/F Control of AC Drive using SVPWM
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWMIRJET Journal
 
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA IJECEIAES
 
Lag lead compensator design in frequency domain 7th lecture
Lag lead compensator design in frequency domain  7th lectureLag lead compensator design in frequency domain  7th lecture
Lag lead compensator design in frequency domain 7th lectureKhalaf Gaeid Alshammery
 
Indirect 3D-Space Vector Modulation for a Matrix Converter
Indirect 3D-Space Vector Modulation for a Matrix ConverterIndirect 3D-Space Vector Modulation for a Matrix Converter
Indirect 3D-Space Vector Modulation for a Matrix ConverterAhmed Mohamed
 
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...IJERA Editor
 
Low thrust interplanetary trajectory optimization (Optimal control)
Low thrust interplanetary trajectory optimization (Optimal control)Low thrust interplanetary trajectory optimization (Optimal control)
Low thrust interplanetary trajectory optimization (Optimal control)naveen kumar
 
D0372027037
D0372027037D0372027037
D0372027037theijes
 
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction Motor
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction MotorVector Controlled Two Phase Induction Motor and To A Three Phase Induction Motor
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction MotorIJERA Editor
 
Lecture 6 modelling-of_electrical__electronic_systems
Lecture 6 modelling-of_electrical__electronic_systemsLecture 6 modelling-of_electrical__electronic_systems
Lecture 6 modelling-of_electrical__electronic_systemsSaifullah Memon
 
Balancing of an air-bearing-based Acs Test Bed
Balancing of an air-bearing-based Acs Test BedBalancing of an air-bearing-based Acs Test Bed
Balancing of an air-bearing-based Acs Test BedCesare Pepponi
 
SvSDP 4113a_emsd3_20122016_article
SvSDP 4113a_emsd3_20122016_articleSvSDP 4113a_emsd3_20122016_article
SvSDP 4113a_emsd3_20122016_articleRasmus Aagaard Hertz
 

What's hot (20)

Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC MotorNovelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
Novelty Method of Speed Control Analysis of Permanent Magnet Brushless DC Motor
 
1.design of svc using mrac
1.design of svc using mrac1.design of svc using mrac
1.design of svc using mrac
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
Simulation of Robot Manipulator Trajectory Optimization Design
Simulation of Robot Manipulator Trajectory Optimization DesignSimulation of Robot Manipulator Trajectory Optimization Design
Simulation of Robot Manipulator Trajectory Optimization Design
 
G010525868
G010525868G010525868
G010525868
 
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...
ESTIMATE OF THE HEAD PRODUCED BY ELECTRICAL SUBMERSIBLE PUMPS ON GASEOUS PETR...
 
Tuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
Tuning of PID, SVFB and LQ Controllers Using Genetic AlgorithmsTuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
Tuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
 
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...
Nonlinear Control of Static Synchronous Compensator STATCOM for Transmission ...
 
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWM
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWMPSO and SMC based Closed Loop V/F Control of AC Drive using SVPWM
PSO and SMC based Closed Loop V/F Control of AC Drive using SVPWM
 
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA
A Simplified Speed Control Of Induction Motor based on a Low Cost FPGA
 
Lag lead compensator design in frequency domain 7th lecture
Lag lead compensator design in frequency domain  7th lectureLag lead compensator design in frequency domain  7th lecture
Lag lead compensator design in frequency domain 7th lecture
 
Indirect 3D-Space Vector Modulation for a Matrix Converter
Indirect 3D-Space Vector Modulation for a Matrix ConverterIndirect 3D-Space Vector Modulation for a Matrix Converter
Indirect 3D-Space Vector Modulation for a Matrix Converter
 
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...
Pwm Control Strategy for Controlling Of Parallel Rectifiers In Single Phase T...
 
Low thrust interplanetary trajectory optimization (Optimal control)
Low thrust interplanetary trajectory optimization (Optimal control)Low thrust interplanetary trajectory optimization (Optimal control)
Low thrust interplanetary trajectory optimization (Optimal control)
 
D0372027037
D0372027037D0372027037
D0372027037
 
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction Motor
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction MotorVector Controlled Two Phase Induction Motor and To A Three Phase Induction Motor
Vector Controlled Two Phase Induction Motor and To A Three Phase Induction Motor
 
Basics Of Kalman Filter And Position Estimation Of Front Wheel Automatic Stee...
Basics Of Kalman Filter And Position Estimation Of Front Wheel Automatic Stee...Basics Of Kalman Filter And Position Estimation Of Front Wheel Automatic Stee...
Basics Of Kalman Filter And Position Estimation Of Front Wheel Automatic Stee...
 
Lecture 6 modelling-of_electrical__electronic_systems
Lecture 6 modelling-of_electrical__electronic_systemsLecture 6 modelling-of_electrical__electronic_systems
Lecture 6 modelling-of_electrical__electronic_systems
 
Balancing of an air-bearing-based Acs Test Bed
Balancing of an air-bearing-based Acs Test BedBalancing of an air-bearing-based Acs Test Bed
Balancing of an air-bearing-based Acs Test Bed
 
SvSDP 4113a_emsd3_20122016_article
SvSDP 4113a_emsd3_20122016_articleSvSDP 4113a_emsd3_20122016_article
SvSDP 4113a_emsd3_20122016_article
 

Similar to Optimal Output Feedback Design of a Shunt Reactor Controller for Damping by Eitelberg Torsional Oscillations

Julio Bravo's Master Graduation Project
Julio Bravo's Master Graduation ProjectJulio Bravo's Master Graduation Project
Julio Bravo's Master Graduation ProjectJulio Bravo
 
Basic Control System unit6
Basic Control System unit6Basic Control System unit6
Basic Control System unit6Asraf Malik
 
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...inventionjournals
 
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...IJMTST Journal
 
Nonlinear Control of an Active Magnetic Bearing with Output Constraint
Nonlinear Control of an Active Magnetic Bearing with Output ConstraintNonlinear Control of an Active Magnetic Bearing with Output Constraint
Nonlinear Control of an Active Magnetic Bearing with Output ConstraintIJECEIAES
 
Metal cutting tool position control using static output feedback and full sta...
Metal cutting tool position control using static output feedback and full sta...Metal cutting tool position control using static output feedback and full sta...
Metal cutting tool position control using static output feedback and full sta...Mustefa Jibril
 
Control of linear systems using
Control of linear systems usingControl of linear systems using
Control of linear systems usingcsandit
 
The Neural Network-Combined Optimal Control System of Induction Motor
The Neural Network-Combined Optimal Control System of Induction MotorThe Neural Network-Combined Optimal Control System of Induction Motor
The Neural Network-Combined Optimal Control System of Induction MotorIJECEIAES
 
modeling of three phase rectifier
modeling of three phase rectifiermodeling of three phase rectifier
modeling of three phase rectifierusic123
 
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...IJERA Editor
 
Comparison of Control Strategies of DSTATACOM for Non-linear Load Compensation
Comparison of Control Strategies of DSTATACOM for Non-linear Load CompensationComparison of Control Strategies of DSTATACOM for Non-linear Load Compensation
Comparison of Control Strategies of DSTATACOM for Non-linear Load Compensationidescitation
 
Control of Wind Energy Conversion System and Power Quality Improvement in the...
Control of Wind Energy Conversion System and Power Quality Improvement in the...Control of Wind Energy Conversion System and Power Quality Improvement in the...
Control of Wind Energy Conversion System and Power Quality Improvement in the...ijeei-iaes
 
9 Control Strategies for Variable-speed Fixed-pitch Win.docx
9 Control Strategies for Variable-speed  Fixed-pitch Win.docx9 Control Strategies for Variable-speed  Fixed-pitch Win.docx
9 Control Strategies for Variable-speed Fixed-pitch Win.docxevonnehoggarth79783
 
Accurate Symbolic Steady State Modeling of Buck Converter
Accurate Symbolic Steady State Modeling of Buck ConverterAccurate Symbolic Steady State Modeling of Buck Converter
Accurate Symbolic Steady State Modeling of Buck ConverterIJECEIAES
 
Stability and pole location
Stability and pole locationStability and pole location
Stability and pole locationssuser5d64bb
 

Similar to Optimal Output Feedback Design of a Shunt Reactor Controller for Damping by Eitelberg Torsional Oscillations (20)

Julio Bravo's Master Graduation Project
Julio Bravo's Master Graduation ProjectJulio Bravo's Master Graduation Project
Julio Bravo's Master Graduation Project
 
Basic Control System unit6
Basic Control System unit6Basic Control System unit6
Basic Control System unit6
 
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...
Design Of Sub Synchronous Damping Controller (SSDC) For TCSC To Improve Power...
 
F0443847
F0443847F0443847
F0443847
 
Design of Quadratic Optimal Regulator for DC Motor
Design of Quadratic Optimal Regulator for DC Motor Design of Quadratic Optimal Regulator for DC Motor
Design of Quadratic Optimal Regulator for DC Motor
 
Analysis
AnalysisAnalysis
Analysis
 
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...
Comparative Analysis of PID, SMC, SMC with PID Controller for Speed Control o...
 
Nonlinear Control of an Active Magnetic Bearing with Output Constraint
Nonlinear Control of an Active Magnetic Bearing with Output ConstraintNonlinear Control of an Active Magnetic Bearing with Output Constraint
Nonlinear Control of an Active Magnetic Bearing with Output Constraint
 
Metal cutting tool position control using static output feedback and full sta...
Metal cutting tool position control using static output feedback and full sta...Metal cutting tool position control using static output feedback and full sta...
Metal cutting tool position control using static output feedback and full sta...
 
Control of linear systems using
Control of linear systems usingControl of linear systems using
Control of linear systems using
 
The Neural Network-Combined Optimal Control System of Induction Motor
The Neural Network-Combined Optimal Control System of Induction MotorThe Neural Network-Combined Optimal Control System of Induction Motor
The Neural Network-Combined Optimal Control System of Induction Motor
 
modeling of three phase rectifier
modeling of three phase rectifiermodeling of three phase rectifier
modeling of three phase rectifier
 
A010220109
A010220109A010220109
A010220109
 
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...
Design And Simulation Of Distributed Statcom Controller For Power Factor Impr...
 
Comparison of Control Strategies of DSTATACOM for Non-linear Load Compensation
Comparison of Control Strategies of DSTATACOM for Non-linear Load CompensationComparison of Control Strategies of DSTATACOM for Non-linear Load Compensation
Comparison of Control Strategies of DSTATACOM for Non-linear Load Compensation
 
Control of Wind Energy Conversion System and Power Quality Improvement in the...
Control of Wind Energy Conversion System and Power Quality Improvement in the...Control of Wind Energy Conversion System and Power Quality Improvement in the...
Control of Wind Energy Conversion System and Power Quality Improvement in the...
 
9 Control Strategies for Variable-speed Fixed-pitch Win.docx
9 Control Strategies for Variable-speed  Fixed-pitch Win.docx9 Control Strategies for Variable-speed  Fixed-pitch Win.docx
9 Control Strategies for Variable-speed Fixed-pitch Win.docx
 
Converter driver dc motor
Converter driver dc motorConverter driver dc motor
Converter driver dc motor
 
Accurate Symbolic Steady State Modeling of Buck Converter
Accurate Symbolic Steady State Modeling of Buck ConverterAccurate Symbolic Steady State Modeling of Buck Converter
Accurate Symbolic Steady State Modeling of Buck Converter
 
Stability and pole location
Stability and pole locationStability and pole location
Stability and pole location
 

Recently uploaded

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 

Recently uploaded (20)

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 

Optimal Output Feedback Design of a Shunt Reactor Controller for Damping by Eitelberg Torsional Oscillations

  • 1. Electric Power Systems Research, 10 (1986) 25 - 33 Optimal Output Feedback Torsional Oscillations 25 D e s i g n o f a Shunt Reactor C o n t r o l l e r for Damping J. C. BALDA, E. EITELBERG and R. G. HARLEY Department of Electrical Engineering, University of Natal, King George V Ave., Durban 4001 (Republic of South Africa) (Accepted September 4, 1985) SUMMARY Suppression o f the torsional oscillations o f a turbogenerator by means o f a shunt reactor placed at the turbogenerator terminals has been proposed by others and would appear to be the most promising o f all the countermeasures suggested so far. This paper investigates the damping o f subsynchronous resonance (SSR ) oscillations by using such a shunt reactor stabilizer and placing it at the high voltage instead o f the low voltage side o f the generator step-up transformer. It shows h o w the shunt reactor controller (SRC) is designed by employing optimal o u t p u t feedback techniques. A digitally c o m p u t e d step-by-step solution o f the 31 non-linear differential equations yields the transient response o f the non-linear system and illustrates the stabilizing effect o f the shunt reactor controller, even for an initially unstable plant. Fig. 1. Instead of using the classical eigenvalue approach [4], the linearized controller design is carried o u t by employing optimal o u t p u t feedback techniques, based on deterministic interpretation by Eitelberg [6]. The wellknown linear quadratic performance index is minimized around a chosen operating point b y applying gradient and line searching techniques [7] to the system's linearized differential equations. The closed-loop transient response of the non-linear turbogenerator system w i t h o u t and with the designed linear optimal controller is then predicted by digital simulation for a 100 ms three-phase shortcircuit at the infinite bus. Finally, the importance o f the shunt reactor location is emphasized by comparing the results obtained in ref. 4 (shunt reactor located at the turbogenerator terminals) with those obtained when the shunt reactor is placed at the high voltage side of the step-up transformer for an unstable level of series compensation (60%). INTRODUCTION RI A power station sited in the Western Cape area in South Africa has recently been commissioned and is transmitting p o w e r to the national grid via a 1400 km, 400 kV series capacitor compensated AC line. The probability of unstable torsional oscillations occurring in this system, as well as a number of possible countermeasures, have been investigated and reported elsewhere [1 - 5], together with a complete set of data for the system. This paper extends the work started in ref. 4 by also investigating SSR damping using a thyristor-controlled shunt reactor b u t connecting it to the high voltage side of the generator step-up transformer as shown in 0378-7796/86/$3.50 ×l ×c ~r• r~ TURBI~ T G S SA E ~ a~J , ~ ~ J ~ > TRANSFORMER II x2 LJ F l J ~i s Y SHUNT REACTOR CQNTROLLER Fig, 1. I n f i n i t e h u s - t u r b o g e n e r a t o r system. © Elsevier Sequoia/Printed in The Netherlands
  • 2. 26 and MATHEMATICAL MODEL OF THE SYSTEM The dynamic behaviour of the system in Fig. 1 is described by the differential equations which represent: (a) the two-axis model for the turbogenerator [4, 8] ; (b) the rotational movement of the six turbogenerator masses with their inertias, damping and spring constants [4] ; (c) the dynamics of the AC network [4] ; (d) the turbogenerator automatic voltage regulator (AVR) and governor [4]. During the optimization task the AVR loop cannot be omitted because some of the AVR time constants are small enough to influence the total behaviour of the turbogenerator. The response of the governor loop is such that it has no major influence on the suppression of SSR and therefore its representation is neglected for optimization purposes. These 26 differential equations are linearized around a steady state operating point and re-arranged into the following state variable form for the deviations from this operating point: ,SYl = K~r[,SC0G + (Wl -- Wz) ,Sz] : ,SUl (6) The plant and controller equations (eqns. ( 1 ) - (6)) are combined into an augmented model [6]. The state, input and o u t p u t vectors of the augmented system are, respectively, AX= Az ] ,SU= ,SUz ,Sz J (7) and the state, input and o u t p u t matrices are re-written as follows: [Ap] [A] = [01 [01 1 [0] [BI = [ [B,] [011 U] [c] = [[cp] [o] [01] [01 (8) [;1 , 5 2 , : [Ap] ,SX, + [Bp] ,SU, (1) The linearized augmented system equations become ,SY, : [C,] ,SX, (2) A ) ( = [ A ] A X + [ B ] AU By assuming that the change in the generator voltage, by action of the shunt reactor, is negligible, the modulation of the thyristor currents is equivalent to modulation of the inductance of the shunt reactor around some nominal value L3nom. Under these conditions the relationship between the controller output and the shunt reactor inductance can be written as [4] L3 = (1 + ,SYl)L3nom (3) The controller function SRC(s) in Fig. 1 was chosen to be ,SY 1 ,5~G - K~r(s + W1) s + W2 (4) where L 3 is the shunt reactor inductance; ,Sy.~ the controller o u t p u t = ,SU~; and ,5co~ = ,56G is the generator rotor speed deviation. The shunt reactor controller is represented by the following linearized state-space equation: Ak = ACoG -- W2 Az = ,5U2 (5) (9) AY = [CI AX OPTIMAL OUTPUT F E E D B A C K CONTROL This theory is needed to find those values of K~r, W1 and Wz in the SRC which will ensure optimal system response after an impulse-type disturbance, b u t nevertheless also stabilize the system during steady state operation. The problem to solve is: find the feedback gain matrix [K0] for the dynamic controller which minimizes the well-known linear quadratic performance index given by I = f ( A X w [Q] AX + AU w [R] AU) dt (10) to according to the dynamic o u t p u t feedback control law AU = [K0] `SY (11)
  • 3. 27 where [Q] and JR] are weighting matrices of the state and input variables and [K0] is the feedback gain matrix for the dynamic controller. [Q] is a positive semidefinite matrix and [R] is a positive definite matrix. The solution of eqn. (9) with eqn. (11) as a function of the transition matrix [0] is a b o u t AXo, it is advisable to consider [Qo] equal to the identity matrix [I]. A necessary condition for the gain matrix [Ko] to be a minimum is t h a t the gradient of the performance index with respect to any element of [Ko] will be zero. The i,jth element of the gradient can be written as z~X = [O(t, to)] AX0 = exp{([A] + [B] [Ko] [C])(t -- to)) AXo (12) Substitution of eqns. (11) and (12) into eqn. (10) yields I = AXoWf [0(t, to)]W([Q] ~K0 ij [Q0] = 0 (17) By differentiating eqn. (15), solving the resulting Lyapunov equation to find (O[P]/ [K0]] and making use of some trace properties, the gradient of the performance index becomes ~[K0] to - tr - 2.0 ( [ B T][P] + [ R ] [ K o ] [ C ] ) [ M ] [ C T] (18) -4- [C T] [Ko T] [RI [Ko] [C] )[¢(t, t0)] dt AX 0 (13) ([A] + [B][Ko][C])[M] + [M]([A] Equation (13) is re-written as I = AXo w[P(to)] AXo where the matrix [M] is the solution of the L y a p u n o v equation given by (14) where [P(to)] is a symmetric positive semidefinite matrix defined by + [s][go][C]) T+ [Qo] = [0] (19) From eqns. (17) and (18) the feedback gain matrix [K0] is of the form [K0] = - - [ R ] - I [ B w] [P] [M] [C T] [P(to)] = J[cp(t, to)lW([Q] X ( [ C ] [M] [ c T ] ) -1 (20) to + [CTKoTRKoC])[O(t, to)] dt = [P] where [P] is the solution of the Lyapunov equation [P]([A] + [BKoC]) + ([A] + [SKoC])v[P] + ([Q] + [CTKoTRKoC]) = [0] (15) for [P] constant. From an analysis of eqn. {14), it is noted that the performance index depends u p o n the u n k n o w n initial states of the linearized state vector. To overcome this problem it has been suggested that a new performance index, defined as its expected mean value [9], i.e. I = tr{[P] [Qo]} (16) where tr means trace and [Qo] = E{AXo AXo w), should be minimized. If nothing is known A more detailed description of the m e t h o d outlined above appears in ref. 6. The sufficient optimality conditions for the o u t p u t feedback case are not y e t k n o w n [9]. Furthermore, the coupled non-linear eqns. (15) and (19) cannot be solved analytically. Therefore, a numerical gradient search technique to minimize the performance index is employed. This gradient search technique can be interpreted as a recursive method: (a) guess a stable value for the feedback gain matrix [K0] ; (b) solve the L y a p u n o v eqns. (15) and (19); (c) calculate the gradient of the performance index given by eqn. (18); (d) by using gradient information a local minimum for the performance index I is calculated by the quadratic convergence descent m e t h o d presented in ref. 7. This m e t h o d searches for the minimum of the function along the line direction defined by
  • 4. 28 [S] = --[H] - - [K0] (21) where [H] is a symmetric positive definite matrix which is initially chosen to be the identity matrix. The feedback gains are then modified according to [K0] k+l = [K0] k + fl[S] where 13[S] is the step size matrix and k is the iteration number. By applying a convenient stopping criterion a stable m i n i m u m in the direction of search is located. (e) Check if the local minimum has been found. If this is so, stop the program, otherwise return to step (b). Looking again at eqn. (17) it is worth mentioning t h a t the optimization task can be done with respect to any number of elements in [K0]. The designer is free to fix the values of some parameters and optimize with respect to the others. CONTROLLER DESIGN The design of the shunt reactor controller (SRC) is carried out around a typical steady state operating point corresponding to turbogenerator active power PG = 0.9 p.u., terminal voltage VG = 1.12 p.u., infinite bus voltage Vb = 1.0 p.u. and a level of series compensation K = (Xc/XL) × 100.0% = 30%, where Xc is the series capacitor reactance and XL is the sum of the subtransient reactance of the generator and the inductive reactances of the step-up transformer and the transmission line. After linearization around the above operating point, the complete system is represented by 27 linear differential equations with only two inputs, as defined in eqns. (5) and (6). The feedback gain matrix for this case has the following form: [ Ksr [K°] = 1.0 Ks"(W1--W2)l (22) cases were considered by weighting only one diagonal factor in [Q] at a time while the rest of the diagonal elements were zero and the two elements in [R ] were given a small value. A small weighting value for the generator speed factor in [Q] produces a non-minimum phase optimum controller with a small negative gain value. By increasing this weighting factor, stable o p t i m u m controllers are found and the controller gain becomes positive and increases. By adding more weight to the diagonal factors corresponding to the generator angle and currents, the controller gain is increased and the pole and zero move closer to the origin. Weighting of the shunt reactor current states produces o p t i m u m parameters with a zero on the right-hand side plane and a negative gain. It was found that weighting those diagonal elements corresponding to generator flux linkages and shunt reactor controller states produced optimum parameters with a controller zero on the right-hand side plane and a small negative gain value. Some of the results from the optimization programme are shown in Table 1. The controller design cannot only be done by considering results obtained from the optimization programme since these results were obtained by linearizing the system around a steady state operating point. System optimal behaviour has been achieved around this point but did not take account of nonlinearities. Therefore several transient cases were digitally simulated for different sets of SRC parameters. From these results (not shown here) it was noted that small values of Ksr slow the system response down, whilst higher values of Ksr speed it up. By increasing Ksr the peak of the transient torques is not significantly reduced, instead, the electrical torque starts to oscillate due to the control action of damping SSR and reaches peaks (equivalent to those obtained when the fault was initially applied) before it finally settles down. After considering all these factors the SRC parameters were chosen as --W 2 Ksr = 0.17; In order to find an optimal controller design that reduces the peak of the transient torques and cancels torsional oscillations and to establish how the weighting of a particular element affects the optimal values, several W~ = 3384.0; W2 = 655.2 which corresponds to a generator angle weighting factor of 0.1 and represents a compromise between fast response and SRC effort.
  • 5. 29 TABLE 1 O p t i m u m f e e d b a c k p a r a m e t e r s for o n l y o n e n o n - z e r o weighting factor in [Q] and [ R ] = diag[0.1, State Weight in [Q] 0.1 Gen. s p e e d Ks~ WI W2 Gen. angle Ksr Wl W2 Gen. c u r r e n t Ksr Wl W2 0.1] 1.0 - - 8 . 9 5 X 10 -2 --4450.0 1100.0 10.0 100.0 1.35 502.0 231.0 1.28 100.00 8.10 1.30 95.50 4.34 0.17 3384.0 655.2 1.53 101.9 10.4 1.74 89.80 0.26 1.75 89.63 8.3 X 10 -2 0.17 974.0 337.5 1.45 97.10 5.21 1.47 92.01 0.71 1.453 91.60 0.27 --0.32 --33.0 1274.0 --0.45 --111.3 787.0 --0.36 - - 204.2 430.4 Shunt current K~ Wl W2 --0.31 --232.3 345.5 SRC(s) g~ W1 W2 F l u x linkages Ks~ wl w2 - - 3 . 4 X 10 -2 --18.5 1634.0 - - 3 . 4 x 10 -2 --20.3 1640.5 - - 3 . 2 x 10 -2 --21.2 1697.5 - - 3 . 4 X 10 -2 --18.4 1633.3 - - 3 . 4 x 10 -2 --19.5 1633.2 - - 3 . 4 x 10 -2 --31.8 1632.6 - - 6 . 6 x 10 -2 --79.4 1626.0 - - 2 . 7 4 X 10 -2 --1664.70 1593.3 RESULTS This section presents the transient response of the turbogenerator, with and w i t h o u t the SRC, when the system was subjected to a 100 ms temporary three-phase short-circuit at the infinite bus for the initial conditions stated earlier. The turbogenerator was also equipped with the AVR and governor shown in ref. 4. The complete system is described by 31 non-linear differential equations which are integrated by a 5th-order Kutta-Merson algorithm. Figure 2 shows the system transient response when the SRC is out of service for the initial conditions stated earlier; the system remains stable and electrical torque oscillations reach a peak of 1.7 p.u. Figure 3, which contains the transient response of the turbogenerator with the SRC for the same disturbance, shows t h a t the LP3-GEN torque is better damped (than in Fig. 2) after 0.5 s since the subsynchronous oscillations took about that long to start building up in Fig. 2. In order to examine the behaviour of the system when the level of series compensation is large enough (60%) to correspond to an unstable case, Fig. 4 is used to illustrate the turbogenerator response when the SRC is out of service; subsynchronous oscillations start to build up and grow with time. Figure 5 shows the system behaviour when the shunt reactor with the SRC designed in ref. 4 is placed at the generator terminals. The system is stabilized and torque oscillations in the LP3GEN shaft section reach a peak of 4.0 p.u. Subsynchronous oscillations are still present after 3.0 s but they have considerably decreased. The ability of the SRC to stabilize the system and cancel subsynchronous oscillations when the shunt reactor is located at the high voltage side of the generator step-up
  • 6. 30 GEN 7. S0 0: SPEED I DEV I s. oi 0. 00 ~.~ - z st -S.O 0. 00 '. 50 L 00 L so 2,00 ' TIME TORQUE LP3-QEN OR I ~. so 0. 00 3.00 .50 SEC. i I I 1.00 "1.50 2.00 TIME 2. i ELECTRIC TORQUE 00 I ~ SO 3. 0 0 SEC. i I I i £~1.s I. ~ 00 1.0 1.00 0. 0.00 -t 00. (3 p-- -1.08 '. so 0.00 L 00 L ~o ~. 00 TIME ~. so ~. 00 -1.0 0. 00 '. so L 00 L so i 2. 00 TIME SEC. ~. ~o 3. 0 0 SEC. Fig. 2. Simulated t r a n s i e n t r e s p o n s e o f the t u r b o g e n e r a t o r ( w i t h o u t an SRC) following a 100 ms t h r e e - p h a s e short-circuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 30%. QEN SPEED DEV 5. 0 0 SHUNT CURRENT r 1. SOF [ 4. O~t- 0. 00 .50 i. 00 1. 50 2. 00 TIME 3. 0 2. 50 3. 00 0. 00 .50 SEO. TORQUE LP3-QEN ~ 1.00 1. SO 2. 00 TIME - 2. 00 ELECTRIC TORQUE I 2. 50 3. I~ SEC. i 1.0 I II I I il ' ` " " i u a ' " "" ' 1 ~ , .................. "...':"... , '' " 1.0~ (3 0. 00. -1. 00, 0. 00 I .50 TIME i 1.00 1. 5 0 2. 00 2. 50 SEC. 3. 00 0. 00 .50 TIME 1.00 I. 50 2. 00 2. 50 3 . 0; SEC. Fig. 3. Simulated transient r e s p o n s e o f the t u r b o g e n e r a t o r ( w i t h an SRC) following a 100 m s t h r e e - p h a s e shortcircuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 30%.
  • 7. 31 GEN SPEED DEV 10. 0~ I l i I L 00 L s, ~. 00 ~ 0~ -5. 0 0 ffl -10. 0 0 i 0. 0 0 .50 6.00 ~. so 3.0B .50 TIME 0. 0 0 SEC. TIME TORQUE L P 3 - G E N q I I t 1.50 2.00 ~.50 2.00 2. 50 SEC. 3.00 ELECTRIC TORQUE 2. 5¢ I 1. B0 2. 00 d 4. e a 1.52 2.00 ~ 1. OR • 5R 0. 0 ~ 0. 0~ ~ -2. OZ D -. 5R -4. 0~ -1.0~ 1.50 0. 0 0 ~.00 ~.SB 2• 0 0 TIME ~50 3-0B ¢.50 0. 0 0 SEC. ~.00 TIME 2i . 5 0 3. 00 SEC. Fig. 4. Simulated t r a n s i e n t r e s p o n s e o f t h e t u r b o g e n e r a t o r ( w i t h o u t an SRC) following a 100 ms t h r e e - p h a s e short-circuit at t h e infinite bus at a series c o m p e n s a t i o n level o f 60%. GEN S P E E D DEV 1.O R SHUNT CURRENT ~ 5 0.Of 0.00 - . 5E , 0 -5. 00 , -1.0I m - 1 0 . 0~, 0. 0o . so TIME I. o~ I. s0 i 00 £ s0 SEC. 3. 0o i / i i TIME FI FKTRTC TORQUE LP3-GEN . -1.5 i SEC. Tnl~Oll~ 4. o 0. 0 0 .50 TIME 1.00 1.50 2. 0 0 2. 50 SEC. 3. 0 0 0.00 .50 TIME 1.00 1.50 2.00 2-50 SEC. 3-$ Fig. 5. S i m u l a t e d t r a n s i e n t r e s p o n s e o f t h e t u r b o g e n e r a t o r and t h e s h u n t r e a c t o r placed at t h e g e n e r a t o r terminals (with an SRC) following a 100 m s t h r e e - p h a s e s h o r t - c i r c u i t at t h e infinite bus at a series c o m p e n s a t i o n level o f 60%.
  • 8. 32 GEN SPEED i DEV 1.5~ i 5.0£ 2. 52 i 0. 05 L.oJo -2. 5EL £ / SHUNT C U R R E N T I.$~ ~.BB u -1.5 -7. 5 ~.~ , , 00 TIME SEE. ~1 ~r'T~TF" TORQUE LP3-QEN 4. TIME ~.~ SEC. Tn#f311~ 0~ 1 3., I. ,J pTIME SEE. TIME SEC. Fig. 6. S i m u l a t e d transient response o f the turbogenerator and the shunt reactor placed at the high voltage side o f the step-up transformer (with an S R C ) f o l l o w i n g a 100 ms three-phase short-circuit at the infinite bus at a series c o m p e n s a t i o n level o f 60%. transformer is shown in Fig. 6. The peak transient torque in the LP3-GEN section is 3.4 p.u. and the torsional oscillations are mostly eliminated after 2.0 s. CONCLUSIONS This paper has shown that subsynchronous resonance can be counteracted in an efficient way by means of a shunt reactor connected at the high voltage side of the generator step-up transformer. From an analysis of the optimal programme results together with the system transient responses, values for the controller parameters were chosen which reduce the peak of the transient torques and eliminate unstable torsional oscillations. It has also illustrated that the SRC controller is capable of damping subsynchronous oscillations, even when the level of series compensation is as high as 60% and in the face of a severe disturbance. ACKNOWLEDGEMENTS The authors acknowledge the assistance of R. Peplow, H. L. Natrass and D. C. Levy of the Digital Processes Laboratory of the Department of Electronic Engineering, University of Natal. They are also grateful for the financial support received from the CSIR and the University of Natal. 3. C. Balda is grateful to Rotary International for financial support. REFERENCES 1 D. J. N. L i m e b e e r , R. G. Harley and S. M. Schuck, S u b s y n c h r o n o u s r e s o n a n c e o f the K o e b e r g turbo-generators and o f a laboratory micro-alternator s y s t e m , Trans. S. Aft. Inst. Electr. Eng., 70 (1979) 278 - 297. 2 D. J. N. L i m e b e e r , R. G. Harley and M. A. L a h o u d , Suppressing s u b s y n c h r o n o u s resonance w i t h static filters, Proc. Inst. Electr. Eng., Part C, 128 (1981) 33 - 44. 3 D. J. N. L i m e b e e r , R. G. Harley and M. A. L a h o u d , The suppression o f s u b s y n c h r o n o u s resonance w i t h the aid o f an auxiliary e x c i t a t i o n control signal, Trans. S. Afr. Inst. Electr. Eng., 74 (1983) 198 - 209. 4 M. A. L a h o u d and R. G. Harley, Theoretical s t u d y o f a shunt reactor s u b s y n c h r o n o u s resonance stabilizer for a nuclear p o w e r e d generator, Electr. Power Syst. Res., 8 ( 1 9 8 5 ) 261 - 274. 5 R. G. Harley and J. C. Balda, S u b s y n c h r o n o u s resonance damping by specially controlling a parallel H V D C link, Proc. Inst. Electr. Eng., Part C, 132 (1985) ] 5 4 - 159.
  • 9. 33 6 E. Eitelberg, Perturbationstechniken bei der Op- timierung grosser linearer Regulungssysteme, VDI-Verlag, Dusseldorf, 1983, ISBN-3-18146006-7. 7 R. Fletcher and M. J. D. Powell, A rapidly convergent descent method for minimization, Comput. J., 6 (1963) 163 - 168. 8 N. Jaleeli, E. Vaahedi and D. C. MacDonald, Multimachine system stability, Proc. PICA Conf., Toronto, May 1977, IEEE Publ. 77 CH 1131-2PWR, pp. 51 - 58. 9 B. D. O. Anderson and J. B. Moore, Linear Optimal Control, Prentice-Hall, Englewood Cliffs, NJ, 1971.