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Title21393056 Powerline Ampacity System
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Total Pages257
Table of Contents
                            Front cover
About the Author
Preface
Contents
Chapter 1. Introduction
Chapter 2. Line Rating Methods
Chapter 3. Theory of Transmission Line Ampacity
Chapter 4. ExperimentalVerification of Transmission Line Ampacity
Chapter 5. Elevated Temperature Effects
Chapter 6. TransmissionLineElectric and Magnetic Fields
Chapter 7. Weather Modeling for Forecasting Transmission Line Ampacity
Chapter 8. Computer Modeling
Chapter 9. New Methods of Increasing Transmission Capacity
Chapter 10. Applications
Chapter 11. Summary, Future Plans and Conclusion
Bibliography
Appendix A
Appendix B
Index
Back cover
                        
Document Text Contents
Page 2

Power Line
Ampacity

System
Theory, Modeling, and Applications

Anjan K. Deb, Ph.D., P.E.
Electrotech Consultant

Boca Raton London New York Washington, D.C.
CRC Press

Page 128

118



Powerline Ampacity System: Theory, Modeling, and Applications



The daily cyclical behavior of the meteorological variables is further supported
by the autocorrelations that were calculated from the hourly averaged values of each
time series as shown in the Figures 7.15-7.17.

The autocorrelation r



k



is calculated by,



FIGURE 7.2



Ambient temperature spectrum.



FIGURE 7.3



Hourly averaged wind speed data during summer time in San Francisco.



FIGURE 7.4



Wind speed spectrum.

Ambient Temperature Spectrum

r
j

C
o
ef

fi
ci

en
t

j

2048
Frequency

100

80

60

40

20

0
0 0.1 0.2 0.3 0.4 0.5

Signal: Wind Speed

Wsj

W
in

d
S

pe
ed

, m
/s

j
Hour

200015001000500
0

0

5

10

15

20

Wind Speed Spectrum
40

30

20

10

r
j

C
oe

ff
ic

ie
nt

0
0 0.1 0.2

j

2048
Freqency

0.3 0.4 0.5



1306/C07/frame Page 118 Saturday, May 27, 2000 11:35 AM

Page 129

Weather Modeling for Forecasting Transmission Line Ampacity



119



(7.5)



FIGURE 7.5



Hourly averaged wind direction data during summer time in San Francisco.



FIGURE 7.6



Wind direction spectrum.



FIGURE 7.7



Ambient temperature pattern, June.

Signal: Wind Direction

200015001000500
j

Hour

0
0

100

Wd
j

200

300

W
in

d
D

ir
ec

ti
on

D
eg

re
e

400

Wind Direction Spectrum
600

400

200

r
j

C
oe

ff
ic

ie
nt

0
0 0.1 0.2 0.3 0.4

j

2048
Frequency

0.5

Ambient Temperature Pattern
June

Hour

35
30

25
20
15

10
5

0

0
4 8 12 16 20

A
m

b
ie

n
t

Te
m

p
er

at
u

re
,

Co

r
c

ck
k=
0



1306/C07/frame Page 119 Saturday, May 27, 2000 11:35 AM

Page 256

Index



251



WindGen, 116, 141, 149, 215
Wire conductors, 4–8



Y



Young's modulus of elasticity, 64, 79, 80



Z



Zirconium aluminum alloy conductors, 7–8, 224



1306/Index/frame Page 251 Saturday, May 27, 2000 8:15 PM

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