Reliability Simulation in Renewable Energy Systems: Challenges and Solutions

Reliability simulation is very important for making renewable energy systems work better and last longer. As more renewable energy is used, it is essential to check how reliable these systems are for energy companies and decision-makers. This article looks at the special problems that come with checking reliability in renewable energy systems. These problems include changes in energy production, equipment failures, and new technology. The article also talks about new ways to solve these problems. Some of these methods include using chance-based models, Monte Carlo simulations, and fault tree analysis. It includes real-life examples to show how these methods work and how well they solve the issues. The results highlight the need for flexible systems that use current data and advanced methods to improve reliability checks. By improving our understanding of reliability in renewable energy systems, this study hopes to help create stronger and more efficient energy systems. It also suggests future research ideas that encourage teamwork across different fields, using new technologies like artificial intelligence and big data to make reliability simulations even better.

کلیدواژه ها:

Reliability simulation ، Renewable energy systems ، Monte Carlo simulations ، Fault tree analysis ، Probabilistic modeling