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Multi-Vector Energy Transmission Networks Control Using Game Theory

Aberi Zaker, Parisa | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55996 (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 play an important role in multi-vector energy networks. Therefore, reliable and efficient control of gas transmission networks with the minimum energy consumption is utmost task and is still an active research area. This work, introduces a distributed, model-free, and game-theoretic approach comprising a simultaneous game followed by a sequential game, to achieve the control objectives in gas transmission networks. The cooperative game approach is adopted for this purpose. In the proposed method two fuzzy inference systems have been used to obtain the payoff of each player in the game of gas transmission network control, the first one has been used to determine the utility function and the other one for the appropriate type of action. After determining the utility function, a cooperative game-theoretic learning algorithm leads to distributed control of the system. It should be noted that the network investigated in this research is a real and standard benchmark with all practical intricacies in gas transmission networks. Performance of the proposed method shows its appropriate and satisfactory results, considering the fact that it is only using the available measurements along with the design information of the gas transmission network
  9. Keywords:
  10. Game Theory ; Model-Free Control ; Learning Algorithm ; Cooperative Game Theory ; Gas Transmission Network ; Fuzzy Inference System ; Multi-Vector Energy ; Game-Theoretic based Control

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