V. EXERCISES 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 numerous attempts to fit mathematical curves to this trend. One of the simplest curves is P = Poea(t-to) where a is the average per unit growth rate, P is the demand in year t, and Po is the given demand at year to. 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. 2. The annual load of a substation is given in the following table. During each month, the power is assumed constant at an average value. Using MATLAB and the barcycle function, obtain a plot of the annual load curve. Write the necessary statements to find the average load and the annual load factor. Annual System Load Interval (Month) January Load (MW) 8 6 4 February March April May June July August September October November December 10 262222868 12 16 14 gm2

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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V. EXERCISES
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 numerous attempts
to fit mathematical curves to this trend. One of the simplest curves is
P = Poea(t-to)
where a is the average per unit growth rate, P is the demand in year t, and Po is the given
demand at year to.
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.
2. The annual load of a substation is given in the following table. During each month, the
power is assumed constant at an average value. Using MATLAB and the barcycle function,
obtain a plot of the annual load curve. Write the necessary statements to find the
average load and the annual load factor.
Annual System Load
Interval (Month)
January
Load (MW)
8
6
4
February
March
April
May
June
July
August
September
October
November
December
10
262222868
12
16
14
gm2
Transcribed Image Text:V. EXERCISES 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 numerous attempts to fit mathematical curves to this trend. One of the simplest curves is P = Poea(t-to) where a is the average per unit growth rate, P is the demand in year t, and Po is the given demand at year to. 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. 2. The annual load of a substation is given in the following table. During each month, the power is assumed constant at an average value. Using MATLAB and the barcycle function, obtain a plot of the annual load curve. Write the necessary statements to find the average load and the annual load factor. Annual System Load Interval (Month) January Load (MW) 8 6 4 February March April May June July August September October November December 10 262222868 12 16 14 gm2
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