Optimization of Dynamic Performance of Gas Transmission Networks

Ahmadian Behrooz, Hesam | 2015

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 47200 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bozorgmehry, Ramin
  7. Abstract:
  8. In this work, a non-isothermal model of natural gas in pipelines including mass, momentum and energy balance equations are used as model equations for modeling and state estimation in gas pipeline systems. An algorithm is proposed to handle the discontinuities that appear in the dynamic model of a GTN. The states of GTN are estimated using the continuous/discrete form of the extended Kalman filter for two benchmarks and some heuristic rules for sensor placement in a GTN are concluded. Also, a framework for distributed and decentralized state estimation in high-pressure and long-distance gas transmission networks (GTNs) is proposed. Some heuristic rules are suggested for system decomposition in gas pipeline networks. The performance of the proposed methodology has been shown based on the comparison of its accuracy and computational demands against their counterparts in centralized Kalman filter for two viable benchmarks. In a real life network, it is shown that while the accuracy is not significantly decreased, the real-time factor of the state estimation is increased by a factor of 10. Finally, a planning strategy for GTNs under future demand uncertainty is addressed in this work, which involves coupling of a GTN dynamic simulator with the stochastic optimization framework. Two types of natural gas customers are studied where each load is characterized by a number of uncertain parameters, and unscented transform is the technique utilized for uncertainty propagation. This algorithm is compared to deterministic approaches in terms of energy consumption, supply flow rate and line-pack manipulations by means of illustrative examples. Moreover, it is shown that preparation for uncertain future load can be done with appropriate management of the compression unit available, without further natural gas supplies
  9. Keywords:
  10. Orthogonal Collocation ; Recycle Stream ; DISCONTINUITYI(MATHMATICS) ; Uncertainty ; Kalman Filters ; Distributed System ; High-Pressure Gas Networks ; Decentralized State Estimation

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