2. Introduction 01
Introduction
Summary:
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The Quaid-e-Azam Solar Park is a photovoltaic power
station in Bahawalpur, Punjab, Pakistan, named in
honor of Quaid-e-Azam Muhammad Ali Jinnah, the
founder of Pakistan. It is a 100 MW solar plant spanning
500 acres and hosting 392,158 solar modules. The
project was constructed by the Government of Punjab,
Pakistan in May 2015 with the cost of $131 million.
It is one of the largest solar plant in Pakistan. The construction of the project was done by TBEA
Xinjiang SunOasis Co. Ltd a Chinese company. The 392,158 solar modules contains, nearly 10,000 solar
arrays of 40 modules each, 1,400 combiner boxes, 100 centralized inverters of 1 MW each, 100
transformers of 1 MVA each at 33kV, all of these linked through a network of thousands of kilometers of
cables. The arrays are fixed to the ground using 140,000 screw piles.
The substation area also includes 100MVA switch gear and VAR protection along with a state of the art
DCS and SCADA control system.
4. Working overview 02
Working overview:
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In order to examine the long-term performance and
cost analysis of the 100 MW QASP. This has been
done by developing a probabilistic model using
Monte Carlo Simulation method.
The power generated by the PV system has been
calculated by considering the solar radiation and
various losses that may affect the output of the system.
The estimated monthly output is reported to show
seasonal variation over the year. Furthermore, the
performance of the QASP has been projected to 25 years
from its commissioning while accounting the system
degradation. Additionally, a cost analysis has been
performed to predict the levelized cost of electricity (LCOE).
This cost analysis accounts for the commissioning,
operation and maintenance costs. The tariff of electricity
for the end users has also been determined.
Monthly energy production of the power plant
5. Important Steps 01
Steps taken to achieve the final results using the
probabilistic mode:
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To predict the output of the PV system, two
models were generated using the simulation
tool. The models were named as PV
Performance model and Reliability model.
Inputs for the PV performance model are the
design parameters of the system and the
weather data containing the irradiation data for
the specified location. Array design, failure
modes, rates, and repair times are used as
input parameters for the reliability model.
Each of the two models individually provide
intermediate results. The PV performance
model provide the ideal energy production
possible with the system, whereas the reliability model provides information about the availability
of the system for power generation. The two models are combined to arrive at final results in terms of
the estimated actual power production.
6. Monte Carlo 03
Monte Carlo simulation
results :
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Figure shows the statistical view of the simulations that were per-formed on the data to achieve the
results. The statistical summary of the simulation results is for 5000 runs and tells about the probability
of occurrence of any output. It gives the distribution and number of counts of power generation each
time the simulation was run for the first year of generation, while the second graph shows the
frequency of occurrence of power generation each time the simulation was run for the first year of
generation.
7. My Energy Internet project
Monte Carlo simulation :
The power produced from the plant is carbon free
because solar PV plants are environment friendly
and do not emit any kind of green house gases.
Furthermore, no costly fuel is required for their
future operation. Solar resource is freely available,
reliable and ensures energy security.
Annual energy production for a lifespan of 25 years
According to the model, the power produced in the first year of operation of the plant is 136,700 MWh.
The energy lost in the first year of operation is 43,300 MWh. The cumulative energy produced within
the estimated lifetime of power plant is forecasted as 3,108,450 MWh.
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8. Power system analysis 04
SCADA/ smart control system For
project :
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The basic methodology of SCADA involves a centralized data acquisition process for the whole installed
system coupled with a database. The centralized system makes it possible to send the information
digitally as well as to keep the track of all backlogs.
This approach is beneficial for troubleshooting and maintaining system accuracy. SCADA operations are
based on programmable logic controllers (PLCs) and remote terminal units (RTU) which acquire the
required information and perform the action-based monitoring for the system.
9. Hobbies 05
Understanding the Role of the
Software :
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• The selection of SCADA software is of greatest importance both for the correct handling of incoming
data streams down to millisecond intervals and the subsequent analysis usually done with the help of
an analytics module.
• Intuitive graphical representation in the form of charts, tables, and mimic diagrams of all those data
streams (primary and derived) allow for easy observation and control.
• The efficient integration of the SCADA SW with Computerized Maintenance Management Systems
(CMMS) enables the user to boost their capability by providing smart maintenance from the SCADA-
generated alarms and troubleshooting.
