Publication: Reliability evaluation of power system using the Monte Carlo method
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Date
2023-08
Authors
Nur Masyitah Maisarah binti Abd Malik @ Khadzir
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Abstract
The evaluation of power system reliability is of paramount importance as it provides insights into the behavior and performance of the system. By analyzing the
reliability, faults can be minimized, outage rates can be reduced, and the overall operational efficiency of the power system can be enhanced. The Monte Carlo Method has emerged as a valuable tool for reliability evaluation, and this study aimed to investigate its effectiveness in this context. To examine the functionality of the Monte Carlo Method, four different systems were developed using MATPOWER, a software for power system analysis. These systems included the assessment of Loss of Load Expectation (LOLE) with nonchronological load, LOLE and Loss of Energy Expectation (LOEE) with nonchronological load, LOLE assessment with chronological load, and LOLE and LOEE assessment with chronological load. Each system was simulated using the Monte Carlo Method to evaluate its reliability. The results obtained from the simulations were carefully analyzed to gain insights into the reliability of the power system. Furthermore, the results were compared with those obtained from conventional analytical techniques that have long been used in power system reliability evaluation. This comparative analysis served to validate the effectiveness and reliability of the Monte Carlo Method as a robust approach for studying power system reliability. The findings of the study confirmed that the Monte Carlo Method is a reliable and versatile technique for evaluating power system reliability. It demonstrated the ability of the method to handle different system conditions and provided valuable insights into the performance of the power system under various scenarios. The study showcased the advantages of utilizing the Monte Carlo Method in power system reliability assessment, highlighting its capability to capture the inherent uncertainties and complexities of real-world systems. In conclusion, this research successfully investigated and demonstrated the functionality of the Monte Carlo Method in evaluating power system reliability. By developing and analyzing four different systems using this method, the study showcased its
effectiveness and compared it with traditional analytical techniques. The results affirmed the reliability and applicability of the Monte Carlo Method, affirming its
potential as a valuable tool for assessing power system reliability under diverse conditions. This research contributes to the body of knowledge in power system
reliability evaluation and provides a foundation for further advancements in this field.