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presentation on power generation
Typology: Lecture notes
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By
Muhammad Faizan Munir
You are in a POWER DISTRIBUTION COMPANY ….
You will have to perfectly estimate/predict the load
so that you must be able to tell those stats to the power generation company.
Population of the town or village under analysis
Standard of living of the people in that locality. (Rich/Moderate/low earned)
Cost of electricity (Tariff)
Industrial Development in that area
Nature of area (Land Conditions/Atmosphere)
Conditions for Load Estimations…
We can have two conditions when we are estimating the load…
You are predicting load requirements for a town/village/tower/industry which
is planned to be established.
You are estimating load requirements of an already developed sector. {updating
the data after each year}
You are predicting load requirements of an already developed but growing
area/city/sector.
Methods of load prediction
before we will explore in the methods of load prediction, some terms are need
to be clarified first…
I. Connected Load
II. Maximum Demand
III. Demand Factor
IV. Load Factor
V. Diversity Factor
VI. Load Curves (daily/monthly/annual)
Connected Load
Each and every electrical equipment present in your house, either turned-on or
turned-off is included in connected load.
Demand Factor
(Problem to be solved in class)
known as a load curve. This curve shows how the load varies with time.
curve.
consumer against the time in hours of the year, it is known as annual load curve. This
type of curve is useful in predicting the annual requirements for energy, the
occurrence of the loads at different hours and days in a year
(Summer/Winter/Normal Season).
for the remainder of the time, depending on the nature of variation.
for example) considered for load curve, will be less than the maximum load.
Work Example {A Residential Consumer}
Load Factor
season for example) considered for load curve, will be less than the maximum
load.
hours during the period. The load factor can also be defined as the ratio of
energy consumed during a given period to the energy which would have been
used if the maximum demand had been maintained throughout that period.
Important Points
i. his maximum demand
ii. his energy consumption during a day.
we can only predict the time when a consumer will be requiring maximum
demand, but we cannot affix a certain time frame for the maximum demand to
occur.
Important Points
i. his maximum demand
ii. his energy consumption during a day.
to supply these needs, it is necessary to provide generating capacity at least
equal to the maximum demand.
If the consumer used all this capacity through out the day, his load factor would
be 100% and he would make maximum use of the available energy. In this case,
the cost of electrical energy per kilowatt-hour would be minimum.
Important Points
i. his maximum demand
ii. his energy consumption during a day.
to supply these needs, it is necessary to provide generating capacity at least
equal to the maximum demand.
If the consumer’s average load is not equal to his maximum load, his load
factor is less than 100% and the cost of electrical energy is higher than in the
last case.
THE IDEAL TO AIM AT therefore is a 100 % load factor, so that the equipment is
used to its full extent. This is, however, not possible in practice owing to variable
load characteristics.
Important Points
when a number of consumers with different load requirements at different times
during the day are to be supplied, an attempt should be made to supply these
loads in such a way as to smooth out the load curve of the system and to obtain
as high a system load factor as practicable.
Lets consider the previous work example; load factor of the consumer is nearly
20 %. This means the energy used by the consumer is only about 20% of the
possible energy that could be supplied during the day by an installed capacity of
360 W if the maximum demand persisted uniformly throughout the day and the
load factor is 100 %.