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Optimum Design Hybrid Energy Storage Systems in Electric Urban Rail Transport Systems

Komijani, Abbas | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46933 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Zolghadri, Mohammad Reza
  7. Abstract:
  8. In the urban railway transportation system, large amount of power is consumed for starting the movement and acceleration. A great part of this energy is transformed to the train kinetic energy which in the case of break is reduced to zero. Thus recovering of train kinetic energy during the brake can help to reduce train energy consumption. One of the possible ways is using energy storage during the brake and using it again during acceleration. Storage can be performed in three kinds, fixed, mobile and hybrid. In this thesis, super capacitors have been investigated as fixed and mobile storages. After reviewing electrical railway transportation systems, elements of these systems have been modeled and the systems have been analyzed with respect to them. For analyzing subway network, MATLAB software and SIMULINK is used and the simulation software is built. Using simulation software, Tehran first line subway (from Mirdamad station to Imam Khomeini station) is simulated for 5 different traffic scenarios. Using simulation, energy consumption and voltage level in different points is compared in railway transportation system equipped with different storages with each other and also with subway system without storage system. Moreover, optimal design of a combined storage system for this system has been studied. In order to reach this goal, Optimization software is built using MATLAB software and using genetic algorithm and PSO. For the considered optimization, the cost function is equal to sum of costs including consumed electrical energy and super capacitors. At last, using the results, we were able to reduce the cost significantly
  9. Keywords:
  10. Supercapacitor ; Genetic Algorithm ; Particles Swarm Optimization (PSO) ; Hybrid Energy Storage System ; Energy Conservation ; Electric Urban Railway Transportation

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