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Optimal Routing in Expansion Planning of Gas Transmission Networks Based on Economic, Operational and Resiliency Criteria

Mohammadi Dinani, Ali | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56364 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bozorgmehry Boozarjomehry, Ramin
  7. Abstract:
  8. Gas transmission networks, as one of the most important energy transport networks, are used to transport gas from production facilities to major gas consumers. These networks possess very complex behavior due to their severely nonlinear equations, their temporal and spatial broadness, the compressibility feature of the fluid that passes through them, and their relationship and interdependency with other energy material generation, transportation, and distribution infrastructures through multi-vector energy systems. Hence, the management and coordination of these networks are challenging. In this regard, the most demanding problem of such networks is their expansion planning due to the multi-dimensionality features of this problem and its various dynamic, operational, and design constraints. Therefore, any inappropriate planning not only does affect the behavior of gas networks adversely but also leads to the malfunction of other elements related to the multi-vector energy system. The main objective of this project is to find the optimal expansion planning of gas transmission networks based on economic, operational, and resiliency criteria. With this respect, equations governing the dynamic behavior of such networks were implemented in the MATLAB environment to obtain dynamic simulations. Next, the constrained multi-objective optimization problem was implemented using NSGA-II as an instance of the evolutionary multi-objective optimization method to determine the optimal set of design and operational variables. This simulation-optimization framework receives its input through Microsoft Excel whose simple user interface helps planning decision-makers to solve their problem with any level of programming capabilities. The performance of the proposed framework has been evaluated based on an expansion planning scenario for a multi-vector energy system that gets to the verge of fragility. The results show that despite the fragile status of the network based on its current operating point, there are expansion planning scenarios that can lead to acceptable operating modes after the expansion with reasonable cost
  9. Keywords:
  10. Gas Transmission Network ; Expansion Planning ; Evolutionary Algorithm ; Genetic Algorithm ; Interconnected System ; Constrained Multi-Objective Optimization ; Interconnected Systems Optimization

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