| Summary: | Conventionally, generation of electrical energy comes with a large amount of
carbon dioxide emission. The unceasing construction of power plant to meet the demand
due to industrialization and urbanization will inexorably lead to climate change. To
mitigate the crisis, the current electrical technology has to keep pace with the
advancement of smart grid technology.Smart grid technology can be defined as the power
grid that can detect and react to local changes and allow two-way communication between
the utility company and the grid. This thesis begins by providing the research background
that includes structural of the power system, the method of power system analysis and
power system reliability in chapter 1. Next, IEEE 738 standard, Monte Carlo simulation
and Optimum power flow analysis have been reviewed in chapter 2. In chapter 3, the
methodology used in this thesis is explained in detail such as sequential Monte Carlo
simulation, reliability impact of Dynamic Thermal Rating system(DTR) and sensitivity
analysis for DTR system. Thereafter, the analyses are performed by using the proposed
methodology and proved that DTR system is able to improve the reliability of power
system by reducing Expected Energy Not Served (EENS). Furthermore, it was found that
Reliability Test Network(RTN) reliability indices are normally not sensitive toward the
reliability of the DTR system. Lastly, a conclusion is made and future work is suggested
in chapter 5
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