Publication:
Power system reliability analysis considering renewable energy source

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Date
2024-07
Authors
Maryam Kamiliah binti Rahime
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The study about renewable energy to meet electrical demand has received a lot of interest recently due to worries about limited energy resources. It is also rising public awareness of the potential negative impacts of traditional energy systems. Developments in wind generation technology are going to continue in promoting the use of wind energy in standalone and grid-connected systems. Wind generators operate much differently from conventional generators due to the unpredictability of events. Because of this, power system engineers and designers must carefully consider the reliability issues associated with renewable energy sources. The reliability assessment is done by simulating Monte Carlo simulation in MATLAB software. It is started by collecting data and parameters regarding the wind turbines from real world data. The data then being processed through Monte Carlo simulation and reliability indices are executed. Sensitivity analysis is conducted to compare the available model on several reliability indices. Convergence charts of failure rates, repair rates, FOR, LOLE and WENS also be displayed in the result and discussion section to visualize the stabilized values of the indices. The research work presented in this thesis focuses on assessing many reliability indices such as failure rates, repair rates, FOR, LOLE and WENS. This paper also implemented IEEE-RTS to execute LOLE to have the reliability assessed integrated with IEEE standards. By using information from IEEE-RTS, a wind farm is integrated at Bus 1 of the model. Then, the load data from the paper is utilized into the simulation. The models, techniques, findings, and discussion in this thesis offer useful information for evaluating the suitability of composite electric power systems that integrate wind energy conversion systems.
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