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Optimal Network Hardening to Enhance Distribution Networks Resiliency Against Hurricane

Taheri, Babak | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51920 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Safdarian, Amir
  7. Abstract:
  8. Back then and still now natural calamities have been a serious threat for energy systems. On that front, this thesis constitutes a three-stage mixed integer linear programming (MILP) model to enhance the resilience of power distribution systems to deal with disas-trous events. The proposed model involves in pre-, mid-, and post-event stages. In this con-text, to increase the preparedness of the power distribution system, system operator recon-figures the system by taking benefit of remote-control switches (RCSs), manual switches (MSs), and distributed generations (DGs) before the natural calamity hits. The proposed model contemplates the traveling time of crew teams to the MS sites in order to achieve the best switching sequence. In addition, it pre-positions the crews and mobile emergency gen-erators (MEGs) in staging locations to hasten the likely post-disturbance operations. The system operator during the event only monitors the situations. Finally, in the post-event system operator with the aim of restoring curtailed loads, co-optimizes the operation of RCSs, crews, DGs, and allocates the MEGs to the proper buses. To validate the performance of the developed model a real distribution system is employed. The results of simulations confirm the effectiveness of the proposed approach in declining the interrup-tion of electric energy for customers. In addition, in order hardening the distribution systems, in this thesis RCS placement and distribution line hardening is proposed. To solve the hardening problem which is a two objective optimization problem, NSGA-II algorithm is used. The fisrt objective in here is minimizing the total investment cost of distribution system on the RCSs and line hardening. While, the second objective is to minimize the total load curtailment of the power distribution system in facing with hurricane. In this thesis, to solve the addressed problem, we linked the GAMS software with MATLAB to obtain the pareto front
  9. Keywords:
  10. Power Distribution ; Resilience Enhancement ; Natural Disasters ; Load Recovery ; Mobile Distributed Generators ; Enhanced Distributed Channel Access ; Transmission Network Reinforcement

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