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Co-planning of Transmission System and Merchant Energy Storage

Mokhtari Hassanabad, Omid | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52907 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hosseini, Hamid
  7. Abstract:
  8. Dependency of human life to supplying of electricity energy, leads to different challenges for power system operators and planners. Demand growth and development of renewable energy sources have caused heavy investment costs to the transmission system. High price of construction of new transmission lines make planners to investigate effective factors on transmission expansion planning in order to make better decisions. On the other hand, the different amount of energy consumption during a day and the uncertainty of renewable energy result in transmission line congestion which cause electricity price gap between peak hours and off-peak hours. This price gap, also, necessitate the development of energy storage systems. Effective development of energy storage systems bring about decreasing of energy storage system cost. In addition, implementing energy storage system, increase energy production in peak hours and it can reduce transmission line congestion. Therefore, transmission system planners can reduce transmission system planning's cost by considering implementation of the energy storage systems. In this regard, this thesis propose a mathematical model for co-planning of transmission systems and merchant energy storage systems. In order to achieve this goal, a tri-level model has been proposed, which consists of a stochastic transmission expansion planning and stochastic energy storage planning and a stochastic programming of energy storage systems by considering uncertainties of the system demand and wind energy production. The aim of this project is to model the competition between storage systems to examine the impact of the presence of these systems on the development of the transmission network and to provide appropriate methods for solving the proposed three-level model. Based on the achieved results, it can be stated that the existence of storage systems can reduce the cost of the transmission network expansion, and the amount of reduced cost depends on the installed capacity of energy storage systems
  9. Keywords:
  10. Benders Decomposition ; Energy Storage System ; Alternating Direction Method of Multipliers (ADMM)Algorithm ; Karush-Kuhn-Tucker (KKT)Optimality Conditions ; Transmission System Planning ; Co-planning in Power System

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