Chapter 1 History of Power Systems
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Transcript Chapter 1 History of Power Systems
Review of AC Circuits
Smith College, EGR 325
March 27, 2006
1
Objectives
• Power calculations and terminology
• Expand understanding of electrical
power
– from simple linear circuits to
– a high voltage power system
2
Overview
• Basic Circuits
•
•
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Sinusoidal waveform representation
Root mean square
Phase shift
Phasors
Complex numbers
Complex impedance
• Electric Power
• Complex: real & reactive power
• Power factor and power factor correction
3
ac Waveform
v
Vmax
v Vmax sin t
t
2 f
f is thefrequencyof the waveform
4
How AC is Generated
Stator
N
S
Rotor
Windings
5
How AC is Generated
f
v
2700
900
N
Angle
S
1800
3600
X
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AC Phasor Representation
v
t
v Vmax sin t
Vmax
Vrms V
2
2 f 377 rad / sec
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V1
Reference
V2
v1
v2
V1 V10
V2 V2
t
v1 V1max sin t
v2 V2 max sin (t )
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V1
Reference
V2
v1
v2
V1 V10
V2 V2
t
v1 V1max cost
v2 V2 max cos(t )
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Phasors
j
V Vm e Vm
v1 (t ) Re Ve
jt
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Representing Power
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Power Calculations
• P = VI
• P = I2R
• P = V2/R
• S = VI
• S = I2Z
• S = V2/Z
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Resistance Impedance
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Resistance in
Capacitance in F
Inductance in H
Z = R + jX
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Instantaneous Electric Power [p(t)]
v(t ) Vmax sin(t )
v
i
i(t ) I max sin(t )
V
t
I
(t ) v(t ) * i(t ) Vmax I max sin(t ) sin(t )
Vmax I max
(t )
[cos( ) cos( 2t ) ]
2
Fixed average
Zero average
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Instantaneous vs. Average Power
1
1
p(t ) Vm I m cos( v i ) Vm I m cos( 2t v i )
2
2
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Instantaneous vs. Average Power
• Instantaneous power is written as
1
1
p(t ) Vm I m cos( v i ) Vm I m cos( 2t v i )
2
2
• The average of this expression is
1
P Vm I m cos( v i )
2
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Real & Reactive Power – Time Domain
Vmax I max
p(t )
[cos( vi ) cos( 2t vi ) ]
2
p(t ) P Q(t )
p
Q(t)
t
t
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Complex Power
IMPORTANT
is the power factor angle
S V I
V
*
I
I I
S V I V0 I VI
*
S V I cos j V I sin
S P j Q
Real Power
Reactive Power
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Example: Current Flow
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Example: Power Flow
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Power System
Operations
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Operating Challenges
• Load is stochastic and is not
controlled
• Power flows cannot be directed or
controlled
• Electricity cannot be stored
• Everything happens in real-time
• Generation can be controlled
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Power System Variables
• Generators produce complex power
– S = P + jQ
– Real power, P, able to perform useful
work
– Reactive power, Q, supports the system
electromagnetically
• Single system frequency, f
• Voltage profile, V
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Real Power Flow – Voltage Relation
Voltage (pu)
• In normal system operation, frequency/real-power
dynamics are decoupled from voltage/reactive-power
Power (pu)
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Real Power and Frequency
• P and f dynamics are coupled
– Demand > Supply: frequency will decrease
(more energy drained from system than produced,
acts like brakes on the turbines)
– Supply > Demand: frequency will increase
(more energy in the power system than consumed,
acts like an accelerator so turbines spin faster)
• Generation-based frequency regulation
– Generator inertia
– Generator governors
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Frequency Problems
• Imbalances in supply and demand beyond
the capabilities of these generator controls
– Load may be dropped, or “shed” by operators
– Equipment protection may disconnect
generators
– Operators may disconnect regional tie lines
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Reactive Power Analogy
• Voltage and reactive power allow real
power to flow
• Reactive power
– Energy stored in capacitance and inductance
– Supports the electromagnetic fields along
transmission lines
– Cannot be transmitted long distances
• Analogy
– Inflatable water pipes
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Voltage Collapse
• The real power demanded is above the
transfer capability of a transmission line
• Return to the water pipe analogy
– Load draws too much power – dips into the
stored reactive power – “collapses” the pipe
• Equations: P = V*I, I = V/Z
– Load wants more power: Decrease apparent
impedance (Z), to increase current draw (I),
which allows increased P
– But, if P at limit, result is to decrease V
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Voltage (pu)
Real Power Flow – Voltage Relation
Power (pu)
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Power System Response to Outages
• Power flows on the paths of least
impedance
• As elements are removed (fail), the
impedance changes and so power flows
change Instantaneously
• Human and computer monitoring of and
reaction to problems is on a much slower
timescale
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