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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 56442 (46)
- University: Sharif University of Technology
- Department: Energy Engineering
- Advisor(s): Rajabi Ghahnuyeh, Abbas
- Abstract:
- Due to the world's reliance on fossil fuels, the climate change situation has become more severe and has presented major challenges. One of the most promising growth avenues to address these issues in the medium to long term is widespread electrification based on renewable sources. However, this is only feasible if the energy infrastructure can support distributed and renewable energy sources without affecting the performance of the power grid. A grid is also necessary for energy systems in order to connect various technologies and guarantee proper integration of supply and demand for maximum efficiency. A novel idea called Energy Internet (EI) has been put forth to accomplish these goals, and it is driven by the most recent advancements in energy technology, information networks, and telecommunications. The EI is an evolution of the power system envisioned as an energy sharing network. The EI combines modern electrical and electronic technology, information technology, and intelligent management technology with numerous new power, oil, and gas networks that consist of various kinds of loads, distributed energy sources, and distributed energy storage systems. Its features, such as installation and operation services and real-time two-way flow of energy, information, and credit, can result in significant advantages and innovation in the production and use of electricity. This thesis proposes innovative solutions to address these challenges by introducing a new routing algorithm, considering loads in the lines, modeling energy router and lines failure using the exponential distribution, and employing reliability and risk indices such as the Expected Energy Not Supplied (EENS) and Risk Reduction Worth (RRW). Additionally, graph theory is utilized to analyze the network structure and identify critical components, while Monte Carlo simulation is applied to evaluate system performance. The proposed Probabilistic Energy Routing (PER) algorithm takes into account the reliability of line failure and energy router failure, ensuring robust and adaptive energy routing in the network. By incorporating the normal distribution to estimate loads in the lines, accurate assessment of system reliability is achieved. Furthermore, the exponential distribution models the failure probabilities of energy routers and lines, enabling a comprehensive analysis of system vulnerabilities. Reliability and risk indices such as EENS and RRW provide valuable insights into system performance and guide decision-making processes. Graph theory analysis offers a deeper understanding of the network topology and facilitates optimal resource allocation, while Monte Carlo simulation validates the effectiveness of the proposed algorithm and identifies potential areas for improvement
- Keywords:
- Reliability Evaluation ; Monte Carlo Simulation ; Graph Theory ; Energy-aware Routing ; Energy Internet ; Energy Routing ; Energy Security
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