Distribution System (Part 2)
Distribution System (Part 2)
Distribution System (Part 2)
Chapter 5
The Load in
Power System
1
Course Outcome
2
CONTENTS
• Load Characteristic
• Load Forecasting
• Load Growth
• Customer Billing
• Power Factor
LOAD
CHARACTERISTIC
Load Characteristic
• Load Curve
• The load on a power station is not constant. It varies
from time to time.
• The load curve is obtained by plotting the loads against
the time on a graph paper.
• When it plotted from 24 hours of a day it is called daily
load curve and if the time considered is for one year
(8760 hours) then it is called annual load curve.
• The yearly load curve is generally used to determine the
load factor.
• The areas under the load curve represent the energy
generated in the period considered.
5
Load Characteristic
Load Curve
• The area under the curve divided by the total number of
hours gives the average load on the power station.
• The peak curve load indicated by the load curve
represents the maximum demand on the power station.
Example of Typical
Commercial Load Curve
6
Load Characteristic
Load Curve
• The greatest problem for a power supply company is
varying load. The generation should be matched with the
load consistently.
7
Load Characteristic
8
Load Characteristic
12
Load Characteristic
D TCD
D1 D2 ....... Dn i 1i i x DFi
i 1
Dg Dg Dg
• Example 1
A generating station had a maximum load of 20,000 kW
and the units generated being 61,500,000 kWh for the
year. Calculate the load factor.
Solution
Unit Served (kWh )
FLD
M ax load (kW) T (h)
61,500,000 kWh
100
20000 365 days 24 hours
35% 16
Load Characteristic
• Example 2
A power station has two 60 MW units each running for
7500 hours in a year and one 30 MW unit running for
4500 hours in a year. The energy produced per year is 750
x106 kWh.
Determine:
(a) Plant load factor
(b) Plant capacity factor
(c) Plant use factor.
Assume maximum demand to be 80% of the plant
capacity.
17
Load Characteristic
• Solution
a) Plant load factor
Capacity of the power plant 2x60 30 150M W
750 106 kWh
Average load
8760h
Average load 750 106 kWh
FLD 0.71
M aximum demand 8760h 150 10 W 0.8
6
18
Load Characteristic
• Solution Example 2
c) Plant use factor
Energy that can be generated by two 60MW units and
one 30MW unit
=2 units x 60MW x 7500h + 30MW x 4500h
=103.5x104MWh=1035x106kWh
19
Load Characteristic
• Example 3
Assume the annual peak load of a primary feeder is
2000kW, at which the power loss i.e., total copper, or
I2R, loss is 80kW per three phase. Assuming an annual
loss factor of 0.15.
Determine:
(a) The average annual power loss
(b) The total annual energy loss due to the copper losses
of the feeder circuits.
20
Load Characteristic
• Solution Example 3
a) Average annual power loss
Average power loss = Power loss at peak load x FLS
= 80 kW x 0.15
=12 kW
21
Example of Transformer Sizing
• An application has been made to the utility to connect a commercial
complex to the nearest distribution transformer. The distribution
transformer is rated 310 kVA and the current maximum demand on this
transformer is 250 kVA. The transformer is 20 years old and considering
hot summer, it is suggested not to load it beyond 90% capacity. The load
of the commercial complex are:
Introduction
• Load forecasting plays an important role in power system
planning, operation and control
• Forecasting means estimating active load at various load
buses ahead of actual load occurrence.
• Planning and operational applications of load forecasting
requires a certain ‘lead time’ also called forecasting
intervals.
• A good forecast reflecting current and future trends,
tempered with good judgment, is the key to all planning,
indeed to financial success.
25
Load Forecasting
26
Load Forecasting
• Nature of Forecast
Nature of Forecast Lead time Application
Very Short Term A few seconds to Generation, distribution
several minutes schedules, contingency analysis
for system security
Short Term Half an hour to a Allocation of spinning reserve;
few hours operational planning and unit
commitment; maintenance
scheduling
Medium Term A few days to a few Planning for seasonal peak-
weeks winter, summer
Long Term A few months to a Planning generation growth
few years
27
Load Forecasting
• Forecasting Methodology
• Forecasting techniques may be divided into two broad
classes. Techniques may be based on extrapolation or on
correlation or on a combination of both.
Extrapolation
Extrapolation techniques involve fitting trend curves to
basic historical data adjusted to reflect the growth trend
itself.
Correlation
Correlation techniques of forecasting relate system loads to
various demographic and economic factor.
28
LOAD GROWTH
Load Growth
Introduction
• In planning to accommodate future electric energy needs,
it is necessary that an estimate of the rate at which those
needs will grow.
• Examples of a typical
energy requirement
projection for a certain
country
30
Load Growth
Growth Rates
• Suppose a certain quantity M grows at a rate that is
proportional to the amount of M that is present.
• It gives dM
aM
dt
• Where a is the constant of proportionality, known as the
per-unit growth rate. The above equation may be written
as
M M 0e at
31
Load Growth
Growth Rates
• At any two values of time, t1 and t2, the inverse ratio of
the corresponding quantities M1 and M2 is
M2
e a (t2 t1 )
M1
• Based on above equation, the doubling time td may be
obtain such that M2 = 2M1 and t2 - t1= td
ln 2 0.693
td
a a
32
Load Growth
Growth Rates
• Power system planners also need to know how much
power will be demanded.
Growth Rates
• The area under this curve over a given period is a
measure of the energy Q consumed during that period.
34
Load Growth
• Growth Rates
• Evaluating the energy Q1 consumed up to t1 and the
energy Q2 consumed during the doubling time td = t2 - t1
t1
P0 bt1
Q1 0 dt
bt
P e e
b
t2
P0 btd
Q2 P0 e dt ( e 1 )e bt1
bt
t1
b
• Td = (ln 2/b), therefore Q2 becomes
P0 P0 bt1
Q2 ( 2 1 )e e Q1
bt1
b b
35
Load Growth
• Example 1
• Suppose that the consumption of the energy in a certain
country has a growth rate of 4 percent per year.
In how many years will the energy consumption be
tripled?
• Solution Example 1
Q2
3 then 3 e 0.04t or ln 3 0.04t
Q1
ln 3
t 27.47 years
0.04
36
Load Growth
• Example 2
• In certain country the energy consumption is expected to
be double in 10 years.
Calculate the growth rate in percent.
• Solution Example 2
ln 2
a
td
0.693
a x100 6.93%
10
37
Load Growth
• Example 3
• Assume that one of the distribution transformer of the
Riverside substation supplies three primary feeders. The
30-min annual max demands per feeder as listed as
following table, together with the power factor (PF) at the
time of annual peak load. Assume a diversity factor of
1.15 among the three feeder for both real power (P) and
reactive power (Q).
Feeder Demand (kW) PF
1 1800 0.95
2 2000 0.85
3 2200 0.90
38
Load Growth
• Example 3
a) Calculate the 30-min annual max demand on the substation
transformer in kW and in kVar
b) Find the load diversity in KW
c) Select a suitable substation transformer size if zero load growth is
expected and if the company policy permits as much as 25 % short
time overload on the distribution substation transformer. Use the
suitable standard 3-phase as follow
2500/3125 KVA self-cooled/forced air cooled
3750/4687 KVA self-cooled/forced air cooled
5000/6250 KVA self-cooled/forced air cooled
7500/9375 KVA self-cooled/forced air cooled
39
Load Growth
• Example 3
d) Now assume that the substation load will increase at a
constant percentage rate per year and will double in 10
years. If the 7500/9375 KVA rated transformer is
installed, in how many years will be loaded to its fans-
on rating. Assume the load growth equation is
Pn=P0(1+g)n
where: Pn=Load at the end of the nth year
P0=Initial Load
g=Annual growth rate
n=Numbers of years
40
Load Growth
• Solution Example 3
a) Given the diversity factor FD = 1.15
Sum of individual max demand
FD
Coincident max demand
D1 D2 ....... Dn 1800kW 2000kW 2200kW
1.15
Dg Dg
Therefore, Annual maximum demand Dg,kW
(1800kW 2000kW 2200kW) 6000kW
Dg ,kW 5217.39kW
1.15 1.15
41
Load Growth
• Solution Example 3
a) Dg =5217.39kW ( in KW), in KVA, then find the power
factor angle PF Angle
0.95 18.2
0.85 31.79
0.90 25.84
The total Reactive Power (Q)
3
Q Pi tan i (1800)(tan18.2) (2000)(tan 31.79)
i 1
• Solution Example 3
a) Therefore Dg
n
LD Di Dg ,kW 6000 kW 5217 kW 783 kW
i 1
43
Load Growth
• Solution Example 3
c) The transformer size capacity if permits of 25% short
time overload
The maximum demand is 5793.60 KVA
Tx Size 25% overload Remarks
2500/3125 KVA 3125x1.25=3906.25 Under size
3750/4687 KVA 4687x1.25=5858.75 Nearest
5000/6250 KVA 6250x1.25=7812.5 Over size
7500/9375 KVA 9375x1.25=11718.75 Over size
• Solution Example 3
d) The term fans-on means the forced air cooled rating.
The increase annual growth rate (g) per year,
given Pn=P0(1+g)n
hence (1+g)10=2 , 1+ g =1.07177
g = 0.07177%/year
Therefore, (1.07177)n x 5793.60 KVA = 9375 KVA
Or ln 1.6182
n 6.944 or 7 Years
ln 1.07177
If the 7500/9375 KVA rated transformer is installed, it
will be loaded to its fan-on rating in about 7 years.
45
CUSTOMER
BILLING
Costumer Billing
• Introduction
• Customer billing is done by taking the difference in
readings of the meter at two successive times, usually at
an interval of 1 month.
• The difference in readings indicates the amount of
electricity, in kilowatt hours, consumed by the customer
in that period.
• The amount is multiplied by the appropriate rate or the
series of rates and the adjustment factor, and the bill is
sent to the customer.
47
Costumer Billing
1. Tariff
2. Bill & Payment
3. Current Bill
4. Other Charges
5. Bill Amount
6. Meter Reading
7. Billing Date
8. Payment Due Date
48
Costumer Billing
• Tariff
• ‘Electricity Tariff’ can be define as a list of fixed rate
electricity prices which has been approved by a government.
• In Malaysia the tariff for electricity are divided into 7
categories as follow:
1) Domestic
2) Commercial
3) Industrial
4) Mining
5) Street Lighting
6) Specific Agriculture
7) Top up & Stand By
49
Costumer Billing
• Tariff
TARIFF CATEGORY UNIT RATES
1. Tariff A - Domestic Tariff
For the first 200 kWh (1 - 200 kWh) per month sen/kWh 21.8
For the next 100 kWh (201 - 300 kWh) per month sen/kWh 33.4
For the next 100 kWh (301 - 400 kWh) per month sen/kWh 40.0
For the first 100kWh (401 - 500 kWh) per month sen/kWh 40.2
For the next 100 kWh (501 - 600 kWh) per month sen/kWh 41.6
For the next 100 kWh (601 - 700 kWh) per month sen/kWh 42.6
For the next 100 kWh (701 - 800 kWh) per month sen/kWh 43.7
For the next 100 kWh (801 - 900 kWh) per month sen/kWh 45.3
For the next kWh (901 kWh onwards) per month sen/kWh 45.4
• Example 1
• A domestic costumer consume 460 kWh for 1 month.
Calculate the monthly bill.
• Solution:
1) First 200 kWh (1-200 kWh) per month: (200 x 21.8)/100 = RM 43.6
2) Next 100 kWh (201-300 kWh) per month: (100 x 33.4)/100 = RM 33.4
3) Next 100 kWh (301-400 kWh) per month: (100 x 40.0)/100 = RM 40
4) Next 100 kWh (401-500 kWh) per month: (60 x 40.2)/100 = RM 24.12
53
Costumer Billing
• Example 1
• Assume a domestic customer use the following domestic
tariff rate schedule.
54
Costumer Billing
• Example 1(cont)
a) Assume that an average month is 730h and find the
monthly load factor
b) Find the reasonable size of continuous KVA rating of the
distribution transformer
c) Calculate the monthly bill
d) What size of capacitor (in kVar) would rise the PF of the
customer to 0.9
55
Costumer Billing
• Solution Example 1
a) Customer A , FLD
Unit served 1200kWh
FLD 0.205
Peak load x T 8kW x 730h
56
Costumer Billing
• Solution Example 1
c) The monthly bill
First 200kWh = 200kWh x 21.8 sen/kWh = RM43.6
Next800kWh = 800 kWh x 28.9 sen/kWh =RM 231.2
Over 1000kWh = 200 kWh x 31.2 sen/kWh = RM 62.4
The total monthly Bill= RM 337.20
d) Size of capacitor
Current PF=0.85, the kVarh value is
1200kWh
xSin( Cos 1 0.85 ) 743.69kVarh
0.85
57
Costumer Billing
• Solution Example 1
1200kWh
sin(cos 1 0.9) 581.19kVArh
0.9
Therefore, the capacitor size required is
(743.69 581.19)kVarh
0.22kVAr
730h
58
Power Factor Surcharge
Percent of Condition
surcharge from
the current bill
For every 0.01 less than
1.5% 0.85 power factor
For every 0.01 less than
3% 0.75 power factor
59
60
POWER FACTOR
Power Factor
62
Power Factor
P - kW
Q - kVar
S - kVA
S P2 Q2
kW
Power Factor
kVA
63
Power Factor
64
Power Factor
65
Power Factor
66
Power Factor
P
PF 0.9
S
P 800
S (load ) 888.88 kVA
PF 0.9
S (load ) 888.88
%TX load 100 100 88.88%
TX Capacity 1000
67
Power Factor
69
Power Factor
75
Power Factor
PF1
2
PLOAD
Q2 S 2 PLOAD PLOAD 2
2 2
PF2
1 1
QCAP PLOAD x 1 1
PF PF
2 2
1 2
77
Power Factor
• Example 1
• An industrial plant has an active power demand of
500kW at a power factor of 0.76 lagging. Determine the
reactive power rating of the capacitor bank required to
improve the power factor to the following:
a) 0.8 lagging
b) 0.9 lagging
c) Unity
Assume the capacitor steps are available in 50 kVar
increments
78
Power Factor
• Solution Example 1
1 1
QCAP PLOAD x
PF 2 1 PF 2 1
1 2
1 1
a ) QCAP 500kW x 2
1 2
1 52.6kVar 50kVar
0.76
0.80
1 1
b ) QCAP 500kW x 2
1 2
1 185.4kVar 200kVar
0.76
0.90
1 1
c ) QCAP 500kW x 2
1 2 1 427.6kVar 400kVar
0.76 1
79
Power Factor
• Example 2
Assume that a 700 kVA load has a 65% power factor. It is
desired to improve the power factor to 92%.Using the
power factor correction table (Table 1).
Determine the following:
a) The correction factor required
b) The capacitor size required
c) What would be the resulting power factor if the next
higher standard capacitor size is used. Assume the
capacitor steps are available in 50 kVar increments
80
Power Factor
• Solution Example 2
a) From correction factor table (Table 1), the correction
factor required can be found as 0.743
b) The 700 KVA load at 65% power factor is
PL=SL x cos W
=700k x 0.65 W
=455 kW
The capacitor size necessary to improve the power factor
from 65 to 92% can be found as
Capacitor size = PL x (Correction Factor)
=(455)(0.743)
=338.065 kVar
81
Power Factor
• Solution Example 2
c) Assume that the next higher standard capacitor size (or
rating) is selected to be 350 kVar. Therefore the resulting
new correction factor can be found from
Standard Capacitor Rating
New Correction Factor
PL
350kVar
0.769
455kW
From the table by using interpolation method, based on
original power factor (65%) and new correction factor
(0.769), refer to Table 1.
82
Power Factor
• Solution Example 2
the close value of desired correction factor 0.769 is 0.774 at
93% power factor and;
The difference between the correction factors at 92% (0.743)
and 93% (0.774) is 0.031.
Thus, the new corrected % PF is obtained by an interpolation
method:
0.774 - 0.769 0.769 - 0.743
92% 93%
0.031 0.031
92.8387%
0.928
83
Table 1: Power Factor Correction Table
84