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Developing a Planning Model for a Multi-hub Energy System in the Oligopoly Market

Farshidian, Behzad | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 54971 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Rajabi Ghahnuyeh, Abbas
  7. Abstract:
  8. Restructuring energy systems for increasing the competence and improving the efficiency has been regarded by energy policy makers. Also, the emerging of new technologies and also the district generation has increased the competence in energy industry. Planning and exploiting the energy system in a restructured environment, has basic differences with integrated systems. Models that can assess the behavior of independent players are needed to assess energy systems in a restructured space.The goal of the present study is to present a model to optimally develop the energy system in a restructured environment. The concept of energy hub was applied to model multicarrier systems. Three steps were defined to assess various dimensions of the problem. In the first step, a model that can evaluate the competence between the players was developed. Nash equilibrium concept and game theory were applied to find the equilibrium point. In this step, using the KKT conditions, the equilibrium problem was converted to an MPC problem that was solved by GAMS software. The outputs of the model in this step were the regional prices, generating the capacity of different technologies, fuel consumption of the technologies and inter-region exchanges.After that, using the definition of Nash equilibrium and also separate modeling of one of the players, the result equilibrium was verified. After that, the effect of renewable energies and also energy storage systems on IEEE 5-Bus sample model were investigated.In the second modeling step, electricity network management model was added to the previous model. It is possible to consider the technical constraints of transmission network besides the capacity of the lines by modeling the network management. In this step, the network manager is responsible for managing exchanges between the regions. DC load distribution was applied to model the network operator. In this step, determining the tariff by the manager and creating capacities in the transmission network was ignored to avoid a bi-level system.As the third step, a two-level model was developed. The problem was modelled as a multi-agent exclusion of Cournot type in form of an equilibrium problem with equilibrium constraints. Regarding the operator modelling of electricity network, the model has a bi-level structure and RTO is the leader. At first, the RTO decides about the capacity and tariff of the transmission line and after the market actors starts to optimize their behaviour, regarding the RTO’s strategy. The outputs of the model would be the capacity of technologies, fuel consumption and power transmission between the regions as well as the capacity and tariff of inter-regional transmission lines. The definition of the dual problem and the weak condition of duality were used to solve the bi-level problem
  9. Keywords:
  10. Energy Market ; Energy Hub ; Game Theory ; Bi-level Model ; Karush-Kuhn-Tucker (KKT)Optimality Conditions ; Adversarial Environment ; Monopolistic Competition Model

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