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Planning Resources in a Micro-Grid Considering Flexibility Concept

Kamrani, Farshid | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53135 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour, Ali; Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. In recent decades, attention to renewable energy sources has been increased, and these resources will be an integral part of power systems in the future. Meeting the equilibrium point between power consumption and power generation at the power grid is of paramount importance. However, the equilibrium point is not solely dependent on the decisions of consumers and generation units and is influenced by other parameters as well. In this regard, penetration of renewable energies into the power system can affect this equilibrium point. These sources have random behavior, which will determine the future structure of the electricity grid. These sources can also change the shape of the network net load curve. However, if the power system is more capable of adapting to these new conditions, these impacts will diminish; it will be called system flexibility, and as the system is more flexible, the more adaptable will be to new conditions (i.e. development of renewable resources in the distribution network).In addition, in recent years, the development of microgrids in the distribution network has been considered. Micro-grids can help improve network flexibility through proper planning and operation. In this regard, this thesis proposes and explores the operation of micro-grid alone and in multi-microgrid structure, as well as in the interaction with the gas grid to improve grid flexibility. Finally, in order to improve the flexibility of the microgrid and thus the power grid flexibility, the planning of development of the microgrid energy storage systems in two scenario-based stochastic programming and use of chance constraints programming has been carried out. All of the proposed models are linear or mixed integer linear programming, which guarantees the optimal global solution of the problem
  9. Keywords:
  10. Flexibility ; Microgrid ; Stochastic Behavior ; Renewable Energy Resources ; Grid Net-Load ; Energy Storage System

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