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15.2 Induction Machine

351

whereas the link between voltages, currents and state variables is as follows:

vd − ed = rS id − x iq

(15.63)

vq − eq = rS iq + x id

 

where x0, x and T0 can be obtained from the motor parameters:

 

x0

= xS + xμ

(15.64)

x

= xS +

xR1xμ

 

xR1 + xμ

 

 

T

=

xR1 + xμ

 

 

0

 

ΩbrR1

 

 

 

 

Finally, the mechanical equation is as follows:

 

σ˙ = (τm(σ) − τe)/(2Hm)

(15.65)

where the electrical torque is:

 

 

 

 

 

 

 

 

τe ≈ edid + eq iq

(15.66)

rS

 

xS

xR1

+

 

 

 

 

id + jiq

xμ

rR1

vd + jvq

 

 

 

 

 

 

 

Fig. 15.14 Electrical circuit of the third-order induction machine model

15.2.5Detailed Double-Cage Model

The electrical circuit for the double-cage induction machine model is depicted in Figure 15.15. As for the single-cage model, real and imaginary axes are defined with respect to the network reference angle, and (15.60) and (15.61) apply. Two voltages behind the stator resistance rS model the cage dynamics, as follows:

352 15 Alternate-Current Machines

e˙d

= Ωbσeq (ed + (x0 − x )iq )/T0

 

 

 

(15.67)

e˙q

= −Ωbσed (eq (x0 − x )id)/T0

 

 

 

 

e˙

=

Ω σ(e

e ) + e˙

(e

e

(x

x )i

)/T

d

 

b

q

q d

d

q

 

q

0

e˙q

= Ωbσ(ed − ed ) + e˙q (eq − ed + (x − x )id)/T0

and the links between voltages and currents are:

vd − ed

= rS id − x iq

(15.68)

vq − eq

= rS iq + x id

 

where the parameters are determined from the circuit resistances and reactances and are given by equations (15.64) and:

x

xR1xR2xμ

 

= xS + xR1xR2 + xR1xμ + xR2xμ

(15.69)

T0 = xR2 + xR1xμ/(xR1 + xμ) ΩbrR2

The di erential equation for the slip is the (15.65), while the electrical torque is defined as follows:

 

 

τe ≈ ed id + eq iq

(15.70)

rS

 

xS

 

+

 

 

 

 

id + jiq

xR1

xR2

 

 

vd + jvq

 

xμ

 

 

 

rR1

rR2

 

 

 

Fig. 15.15 Electrical circuit of the fifth-order induction machine model

Example 15.7 Induction Motor Start-Up

Figure 15.16 shows the start-up of a double-cage induction motor modelled with a fifth order set of DAE as discussed in the previous section. The motor is connected to the network at t = 1 s. Fast electrical dynamics damp out in about a second while the mechanical transient takes several seconds. Thus, fast dynamics should be considered in the classical transient stability analysis i.e., for time scale from one to five seconds after the fault clearing. For voltage

15.2 Induction Machine

353

 

 

 

 

 

 

Fig. 15.16 Induction motor start-up transient

or frequency stability analysis (e.g., tens of seconds), a simple mechanical model for the induction motor is adequate.

Chapter 16

Synchronous Machine Regulators

This chapter describes the most relevant synchronous machines primary regulators and limiters. These are the turbine governor, the automatic voltage regulator and the overand under-excitation limiters. These regulators are the dynamic counterpart of the static capability curve described in Section 12.2.1 of Chapter 12. Furthermore, this chapter also describes the power system stabilizer that allows e ciently damping synchronous machine rotor oscillations. Figure 16.1 provides a synoptic scheme of the synchronous machine regulators described in this chapter.

There is a huge variety of synchronous machine regulator models. For example, the EPRI Extended Transient-Midterm Stability Program (ETMSP) User’s Manual contains hundreds of controls schemes for turbine governors, automatic voltage regulators and power system stabilizers [130]. The main object of this chapter is to provide an overview of the basic functioning and some commonly used models. Other models, even very complex, can be implemented starting from the basic schemes given in this chapter. Moreover, providing a complete list of all existing regulator models is likely useless, since it is always possible that someone proves that currently accepted models are actually inadequate [237].

16.1Turbine Governor

Turbine Governors (TGs) define the primary frequency control of synchronous machines. Figure 16.2 shows the basic functioning of the primary frequency control. In particular, Figure 16.2.a depicts the linearized control loop that includes the turbine governor transfer function G(s) and a simplified machine model. The transfer function G(s) depends on the type of the turbine and on the control (see for example Figures 16.3 and 16.4). In steady-state conditions:

lim G(s) =

1

(16.1)

R

s→0

 

F. Milano: Power System Modelling and Scripting, Power Systems, pp. 355–377. springerlink.com c Springer-Verlag Berlin Heidelberg 2010

356

16 Synchronous Machine Regulators

ω

 

Turbine

Generator

porder +

vf

+

Automatic

Δp

 

Voltage

Regulator

Governor

 

+

p, ω, v

ωref

v, i, p, q Over & Under

Excitation Limiters

v

 

 

 

 

 

,

vUXL

 

 

 

 

vOXL

 

vref

 

+

+

 

 

 

 

 

 

vs

 

 

Power

System

Stabilizer

Fig. 16.1 Synoptic scheme of synchronous machine regulators

thus, approximating the mechanical torque with the mechanical power, one has:

Δpm =

1

(Δωref − Δω)

(16.2)

R

where all quantities are in pu with respect to machine bases. Figure 16.2.b shows the e ect of the droop R on the regulation: (i) R = 0 is the normal situation; (ii) R = 0 implies that G(s) contains a pure integrator and, thus, a constant frequency control; and (iii) R → ∞ means constant power control (the primary frequency control loop is open). In general, R = 0 and R < ∞, so that the machine regulates the frequency proportionally to its rated power. Only in islanded systems with one or very few machines, it makes sense to set R = 0. Finally, Figure 16.2.c shows the e ect of the variation of the system frequency Δω on a multi-machine system. If Δω < 0 (which implies that the power absorbed by the load has increased), then each machine k increases its power production by a quantity proportional to 1/Rk.

The droop R is a measure of the participation of each machine to system losses and load power variations. Thus, one can define the loss participation coe cient γk in the static generator models (see Sections 10.2.1 and 10.2.2) based on Rk , as follows:

1/Rk

 

γk = )jG 1/Rj

(16.3)

where G is the set of synchronous machines. For example, if a system has three machines with 1/R1 = 3%, 1/R2 = 5%, and 1/R3 = 4%, then:

16.1 Turbine Governor

357

 

 

 

 

Δpe

 

 

 

 

Δωref

+

 

Δpm

1

Δω

 

 

 

 

 

 

 

 

 

 

 

 

 

G(s)

 

 

 

 

(a)

 

 

+

 

2Hs

 

 

 

 

Δω

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ω

 

 

ω

 

ω

 

 

 

 

 

 

R = 0

 

 

 

 

 

 

R = 0

 

 

 

 

R

→ ∞

(b)

 

 

 

 

 

 

 

 

 

 

pm

 

pm

 

 

pm

 

ω

 

 

ω

 

ω

 

 

 

 

 

 

 

 

 

 

 

(c)

Δω

 

 

 

 

 

 

 

 

Δpm,1

pm

Δpm,2

pm

 

Δpm,3

pm

 

Fig. 16.2 Basic functioning of the primary frequency control: (a) linearized control loop; (b) e ect of the droop R on the control loop; and (c) e ect of a variation of the rotor speed Δω on a multi-machine system with Rj = 0, j G

γ1 =

0.03

= 0.25

0.03 + 0.05 + 0.04

γ2 =

0.05

= 0.42

0.03 + 0.05 + 0.04

γ3 =

0.04

= 0.33

 

0.03 + 0.05 + 0.04

Only the relative values of the coe cients γi are relevant, not the absolute ones. Two relevant remarks are as follows:

1.If Rk → ∞, γk = 0 for the machine k.

2.If Rk = 0, γk = 1 for the machine k, being all other loss participation coe cients γj = 0, j G and j = i.

When defining the TG data, the droop R and mechanical power limits are often given in pu with respect to the synchronous machine power rating. If this is the case, during the initialization of turbine governors data, the droops have to be converted to the system power base, as follows:

358

16 Synchronous Machine Regulators

Rsystem =

Ssystem

Rmachine

(16.4)

 

 

Smachine

 

When initializing the turbine governor variable, mechanical power limits have to be checked. If a limit is violated, it means that the turbine governor parameters are not consistent with those of the static generator used in power flow analysis.

Each turbine governor model has two algebraic equations, as follows:

0

= τ˜m − τm

(16.5)

0

= ω0ref − ωref

(16.6)

where (16.5) represents the link between the turbine governor and the synchronous machines, being τm the input mechanical power variable used in synchronous machine models, i.e., (16.5) substitutes (15.7); and (16.6) defines the turbine governor reference rotor speed. The reference signal ω0ref can be modified, for example, by the automatic generation control (e.g., secondary frequency regulation).

Following subsections describe two simple yet commonly used turbine governor models.

16.1.1Turbine Governor Type I

The TG type I is depicted in Figure 16.3. It includes a governor, a servo and a reheat block. The DAE system that describes this TG model is as follows:

pˆin = porder +

 

1

(ωref − ω)

(16.7)

R

 

 

pˆin

 

 

 

 

if pmin ≤ pˆin ≤ pmax

 

pin =

pmax

if pˆin > pmax

 

 

 

min

if pˆin < p

min

 

 

 

p

 

 

 

 

 

 

 

 

 

x˙ g1

=

(p

 

 

x

 

)/T

s

 

 

 

 

 

 

in

 

g1

 

 

 

 

 

 

 

 

 

 

 

T3

 

 

 

 

 

 

 

 

 

 

x˙ g2

= ((1

 

 

)xg1 − xg2)/Tc

 

Tc

 

 

 

 

 

T4

 

 

 

 

 

T3

 

x˙ g3

= ((1

 

 

)(xg2 +

 

 

 

xg1) − xg3)/T5

 

T5

Tc

 

τ˜m

= xg3

+

 

T4

(xg2 +

T3

xg1)

 

 

T5

 

 

 

 

 

 

 

 

 

 

 

Tc

 

The number of blocks of each part of the turbine can be increased to take into account each stage in detail. However, the structure of the control diagram does not change. Table 16.1 defines the parameters of TG type I.

16.1 Turbine Governor

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

359

 

 

 

 

 

 

 

 

 

 

porder

pmax

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ωref +

 

+

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

pˆin

pin

1

 

 

 

T3s + 1

 

 

 

 

 

T4s + 1

τ˜m

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1/R

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

+

 

 

 

 

 

Tss + 1

 

 

Tcs + 1

 

 

 

 

 

T5s + 1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ω

 

 

pmin

 

 

Governor

Servo

 

 

 

 

 

Reheat

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig. 16.3

Turbine governor Type I control diagram

 

 

 

 

 

 

Table 16.1 Turbine governor Type I parameters

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Variable

Description

 

 

 

 

 

 

Unit

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

-

 

 

Generator code

 

 

-

 

 

 

 

 

 

 

 

 

 

 

 

 

 

pmax

 

 

Maximum turbine output

 

pu

 

 

 

 

 

 

 

 

 

pmin

 

 

Minimum turbine output

 

pu

 

 

 

 

 

 

 

 

 

R

 

 

Droop

 

 

 

 

 

 

 

pu

 

 

 

 

 

 

 

 

 

T3

 

 

Transient gain time constant

 

s

 

 

 

 

 

 

 

 

 

T4

 

 

Power fraction time constant

 

s

 

 

 

 

 

 

 

 

 

T5

 

 

Reheat time constant

 

 

s

 

 

 

 

 

 

 

 

 

Tc

 

 

Servo time constant

 

 

s

 

 

 

 

 

 

 

 

 

Ts

 

 

Governor time constant

 

 

s

 

 

16.1.2Turbine Governor Type II

The TG type II is depicted in Figure 16.4 and described by the following equations:

1

(1

 

 

 

T1

 

x˙ g = (

 

 

 

)(ωref − ω) − xg )/T2

(16.8)

R

T2

 

 

 

1 T1

 

τˆm = xg +

 

 

 

(ωref − ω) + τm0

 

R

T2

 

τ max

τ˜m = τˆm

τ min

if τˆm > τ max

if τ min ≤ τˆm ≤ τ max

if τˆm < τ min

where τm0 is the initial mechanical torque determined when initializing synchronous machines (see equation (15.7)) and other parameters are defined in Table 16.2. Equations (16.8) simplify the previous model (16.7). The turbine governor type II is typically more than adequate for transient stability analysis.

360

 

 

 

 

 

16

Synchronous Machine Regulators

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

τm0

τ max

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ωref +

 

 

 

 

 

 

 

 

 

+

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

T1s + 1

 

 

 

 

τˆm

τ˜m

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1/R

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

T2s + 1

 

+

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ω

 

 

 

 

 

 

 

 

 

 

τ min

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig. 16.4

Turbine governor Type II control diagram

 

 

 

 

 

 

Table 16.2 Turbine governor Type II parameters

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Variable

Description

 

 

 

Unit

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

-

 

 

Generator code

 

 

 

int

 

 

 

 

 

 

 

 

 

R

 

 

Droop

 

 

 

pu

 

 

 

 

 

 

 

 

 

T1

 

 

Transient gain time constant

s

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

T2

 

 

Governor time constant

s

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

τ max

 

 

Maximum turbine output

pu

 

 

 

 

 

 

 

 

 

τ min

 

 

Minimum turbine output

pu

 

 

 

Example 16.1 E ect of Turbine Governor on Generator Frequency

Figure 16.5 shows the e ect of turbine governors on generator rotor speeds for the IEEE 14-bus system. The plot was obtained including two turbine governors of type II at generators 1 and 2. The complete data are reported in Appendix D. The disturbance is line 2-4 outage at t = 1 s. As expected, the turbine governor is able to recover the rotor speed to a value close to the initial synchronous speed. However, since the disturbance considered in this case study implies only a redistribution of losses, the e ect of turbine governor is negligible.1 As discussed above, the primary frequency regulation is never integral, hence the final frequency cannot be equal to the initial one.

Turbine governors regulates the production of synchronous machine active powers. In the case of the IEEE 14-bus system, only two machines produce active power. Since synchronous machine 1 is ten times bigger than machine 2 and the two machines have the same droop, machine 1 takes about the 90% of the active power variation after the disturbance.

1In fact, without turbine governors, the frequency error is < 0.2%. This is why turbine governors are not considered in most examples of this book.

16.2 Automatic Voltage Regulator

361

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Fig. 16.5 E ect of the turbine governor on the generator frequency for the IEEE 14-bus system

16.2Automatic Voltage Regulator

Automatic Voltage Regulators (AVRs) define the primary voltage regulation of synchronous machines. Several AVR models have been proposed and realized in practice [89, 145]. In this section, three simple AVR types are described. AVR Type I is a simplified version of the standard dc exciter IEEE type I, whereas AVR Type II is a typical static exciter model. AVR Type III is the simplest AVR model that can be used for rough stability evaluations.

Figure 16.6 depicts a conceptual linearized model of the primary voltage regulation of the synchronous machine. Although the detailed system is much more complicated, the kernel of primary voltage regulation can be reduced to a transfer function composed of the AVR regulator, the exciter and the machine d-axis emf. The system of Figure 16.6 has the closed-loop root loci shown in Figure 16.7. Depending on the AVR gain the system can be stable or unstable (due to the occurrence of a Hopf bifurcation). Clearly, AVR gains are chosen to avoid instability in most operating conditions. However, it is possible that an unusual loading condition and/or line outage causes an increase of the equivalent closed-loop gain and, thus, leads to instability [337]. This phenomenon is illustrated in Example 16.2.