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Improving the Resiliency of Distribution Grids Owning Different Distributed Generation (DG) Resources by Optimal Switching Device Placement and Microgrids Formation

Zare Bahramabadi, Majid | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48657 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour Tehrani Fard, Ali
  7. Abstract:
  8. In recent years, climate change due to greenhouse gases caused an increase in frequency and intensity of the natural disasters such as hurricanes, blizzards and floods. Moreover, it is anticipated that such events will increase in the future. As a result, power system decision makers are looking for methods to improve power system resiliency against such natural disasters with low occurrence probability and high impact. In this report, the distribution system resiliency has improved via placing remote control sectionalizing switches and micro grids formation during natural disasters. In this regard, the concept of resiliency and its characteristics along with the effect of remote control sectionalizing switches and distributed generations (DGs) on resiliency characteristics has explained. In the following, a new mathematical model which contains tangent and angle structures fragility curves along with the required equations for scenarios generation, is proposed for simulation the occurrence of the hurricane (natural disaster). Furthermore, in order to improve distribution system resiliency, a new and comprehensive algorithm for switch placement in distribution systems with DGs and a new index to evaluate distribution system resiliency level is proposed. A mixed integer linear programming (MILP) is used to solve the switch placement problem in distribution system with DGs. Finally, in order to illustrate the effectiveness of the proposed switch placement algorithm, the switch placement problem in distribution systems with DGs is solved for a practical distribution system in Kerman province
  9. Keywords:
  10. Natural Disasters ; Microgrid ; Resiliency Matrix ; Distributed Generation ; Electricity Distribution Network ; Optimum Switch Placement ; Remote Control Sectionalizing

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