Consider a single-phase load with an applied voltage v ( t ) = 150 cos ( ω t + 10 ° ) volts and load current i ( t ) = 5 cos ( ω t + 50 ° ) A . (a) Determine the power triangle. (b) Find the power factor and specify whether it is lagging or leading. (c) Calculate the reactive power supplied by capacitors in parallel with the load that correct the power factor to 0.9 lagging.
Consider a single-phase load with an applied voltage v ( t ) = 150 cos ( ω t + 10 ° ) volts and load current i ( t ) = 5 cos ( ω t + 50 ° ) A . (a) Determine the power triangle. (b) Find the power factor and specify whether it is lagging or leading. (c) Calculate the reactive power supplied by capacitors in parallel with the load that correct the power factor to 0.9 lagging.
Solution Summary: The author illustrates the power triangle drawn as shown in Figure 1. Value of applied voltage is v(t)=150mathr
Consider a single-phase load with an applied voltage
v
(
t
)
=
150
cos
(
ω
t
+
10
°
)
volts
and load current
i
(
t
)
=
5
cos
(
ω
t
+
50
°
)
A
. (a) Determine the power triangle. (b) Find the power factor and specify whether it is lagging or leading. (c) Calculate the reactive power supplied by capacitors in parallel with the load that correct the power factor to 0.9 lagging.
According to the book the answers are m= 30 and n = 5 and number of switch blocks is 220
find reactive power demand , capacitor bank provides and overcompenstation
(A) Consider a communication system where the number of successful transsions
out of 10 trials follows a binomial distribution. The success probability for each triat is 0,95,
Let X be the random variable representing the number of successful transmissions.
-Sketch the cumulative distribution function (CDF) of the distribution.
2- Find Skewness coefficients and check if the distribution is symmetrical or skewed to the
right or left.
3- Find kurtosis coefficients, Check if the distribution is mesokurtic, leptokurtic or
platykurtic.
4- Find the probability of getting at most eigh. successful transmissions.
5- Find the probability P(20 with a mean 2-1 calculate the probability that the noise is greater than
3 units.
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