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power system analysis by hadi saadat 3rd edition solution manual

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The solution manual for Power System Analysis by Hadi Saadat (3rd Edition) is a comprehensive companion guide that provides detailed, step-by-step solutions to all the problems presented in the textbook. It is widely used by electrical engineering students and professionals to deepen their understanding of power system concepts and to aid in exam preparation and coursework. Key Features: Covers all chapters from the textbook, including: The per-unit system Transmission line parameters Power flow analysis Fault analysis (balanced and unbalanced) Stability and control Generator and transformer models Mathematical rigor with worked examples using phasor analysis, load flow techniques, and MATLAB-based simulations Useful for students in courses like EE 301 or similar power system analysis modules Includes real-world case studies such as substation load measurements and dispatch optimization

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All Chapters Covered




SOLUTION MANUAL

, CONTENTS




1 THE POWER SYSTEM: AN OVERVIEW 1

2 BASIC PRINCIPLES 5

3 GENERATOR AND TRANSFORMER MODELS;
THE PER-UNIT SYSTEM 25

4 TRANSMISSION LINE PARAMETERS 52

5 LINE MODEL AND PERFORMANCE 68

6 POWER FLOW ANALYSIS 107

7 OPTIMAL DISPATCH OF GENERATION 147

8 SYNCHRONOUS MACHINE TRANSIENT ANALYSIS 170

9 BALANCED FAULT 181

10 SYMMETRICAL COMPONENTS AND UNBALANCED FAULT 208

11 STABILITY 244

12 POWER SYSTEM CONTROL 263




i

, CHAPTER 1 PROBLEMS




1.1 The demand estimation is the starting point for planning the future electric
power supply. The consistency of demand growth over the years has led to numer-
ous attempts to fit mathematical curves to this trend. One of the simplest curves
is

P = P0ea(t—t0)

where a is the average per unit growth rate, P is the demand in year t, and P0 is
the given demand at year t0.
Assume the peak power demand in the United States in 1984 is 480 GW with
an average growth rate of 3.4 percent. Using MATLAB, plot the predicated peak
demand in GW from 1984 to 1999. Estimate the peak power demand for the year
1999.
We use the following commands to plot the demand growth

t0 = 84; P0 = 480;
a =.034;
t =(84:1:99)’;
P =P0*exp(a*(t-t0));
disp(’Predicted Peak Demand - GW’)
disp([t, P])
plot(t, P), grid
xlabel(’Year’), ylabel(’Peak power demand GW’)
P99 =P0*exp(a*(99 - t0))


The result is
1

, 2 CONTENTS



Predicted Peak Demand - GW
84.0000 480.0000
85.0000 496.6006
86.0000 513.7753
87.0000 531.5441
88.0000 549.9273
89.0000 568.9463
90.0000 588.6231
91.0000 608.9804
92.0000 630.0418
93.0000 651.8315
94.0000 674.3740
95.0000 697.6978
96.0000 721.8274
97.0000 746.7916
98.0000 772.6190
99.0000 799.3398

P99 =

799.3398

The plot of the predicated demand is shown n Figure 1.

800 . . . . . . .. . . . . . . . ... . . . . . .... . . . . . .... . . . . . .... . . . . . .... . . . . . . ... . . . . . ...
. . . . . . . .
. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . ... . . . . . . ..
. . . . . . . .. . . . . . . .. . ..
. . . . . . .. .

750 . . . .
.
.
.
.
.
. . .
. . . .. . .
. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . ... . . . . . . ... . . .. . . . ... . . . . . . ... . . . . . . ..
700 .
.
.
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Peak . . . . . . . .
. . . . . . . . . . . . . . .. . . . . . . ... . . . . . . ... . . . . . . ... . . . . . . ... . . . . . . ... . . . . . .. .
.

Power 650 . . . ..
.
. . . .
. . . . . . . . .
Demand . . . . . . . . .
600 . . . . . . . . . . . . . . . . . . . . . . .. .. . . . . .. . . . . . . ... . . . . . . ... . . . . . . ... . . . . . .. .
GW .
.
.
. . .
. .
.
.
..
.
..
.
..
.
..
.
. . . . . . . .. . . . . . . .. . .. . . . . .. . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . .
550 .
. .
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. . . . .. . . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . ...
. . . . . .
500 .
.
. . . . . . . .
. . . . . . . .
. . . . . . . .
450 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . .. . . . . . . .. . . . . . . .. . . . . . ..
84 86 88 90 92 94 96 98 100
Year
FIGURE 1
Peak Power Demand for Problem 1.1

1.2 In a certain country, the energy consumption is expected to double in 10 years.

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